AIJ BOOK REVIEWS -- LIST OF BOOKS AVAILABLE FOR REVIEW
These are recent books (within the last five years) that the editors have been sent by publishers for review. If you are interested in reviewing one of these books (or any other AI book), then please contact the Review Editors for a complimentary copy: Peter Norvig email: pnorvig@google.com Google Inc phone: (650) 623-4248 1600 Amphitheatre Pkwy fax: (650) 618-1499 Mountain View CA 94043 http://www.norvig.com Don Perlis email: perlis@cs.umd.edu Computer Science phone: (301) 405-2685 University of Maryland fax: (301_ 405-6707 College Park MD 20742 http://www.cs.umd.edu YEAR 2005 ---------- Title : Smart Environments - Technology, Protocols \& Applications\\ Authors : Cook, D. J. \& Das, S. K.\\ Year : 2005\\ ISBN : 0-471-54448-5\\ Publisher : Wiley-Interscience\\ Research on smart environments represents some of the most innovative work being done in computer science, electrical engineering, and information systems today. The interdisciplinary scope of the field integrates aspects of machine learning, human-machine interfacing, wireless networking, mobile communications, sensor networks, and pervasive computing. As research efforts devise intelligent environments for use in homes, offices, classrooms, hospitals, and automobiles, far-reaching applications - from design and architecture to health care issues and software engineering - become increasingly evident. With contributions from leading researchers in a wide array of disciplines, Smart Environments: Technology, Protocols, and Applications presents the state of the art in this emerging field. Important topics covered include: * Wireless sensor networks * Pervasive technology * Middleware * Home and office networking and appliances * Prediction algorithms * Location and estimation techniques * Automated decision-making * Privacy and security issues * Assistive environments for individuals with special needs * Future trends Supplementary features include an accompanying Web site and a comprehensive listing of Web sites for smart environment projects. Encompassing both theory and practical implementation, with in-depth discussion of existing applications,Smart Environments is an authoritative resource for practicing engineers and students in the field. Diane J. Cook, PhD, is a professor in the Department of Computer Science and Engineering at the University of Texas at Arlington, where she leads the MavHome smart home project and directs the Artificial Intelligence Research Laboratory. A senior member of the IEEE and member of the American Association for Artificial Intelligence, she also sits on the Board of Governors for the IEEE's Systems, Man, and Cybernetics Society. Sajal K. Das, PhD, is a professor in the Department of Computer Science and Engineering and Founding Director of the Center for Research in Wireless Mobility and Networking (CReWMaN) at the University of Texas at Arlington. He is the coauthor of Mobile Wireless Computing: A Quantitative Approach. ----------------------------------------------------------------- Title : Machine Vision - Theory Algorithms Practicalities\\ Author : Davies, E. R.\\ Year : 2005\\ ISBN : 0-12-206093-8\\ Publisher : Elsevier\\ This book is an essential reference for anyone developing techniques for machine vision analsis, including systems for industrial inspection, biomedical analysis, and much more. It comes from a long-term practitioner and is packed with the fundamental techniques reguired to build and prototype methods to test their applicability to the problem at hand." - Majid Mirmedhdi, University of Bristol\\ In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalties well enough to design their own algorithms and systems. This book directly addresses this need. As in earlier editions, Dr. Davies clearly and systematically presents the basic concepts of the field in highly accessible prose and images, covering essential elements of the theory while emphasizing algorithmic and practical design constraints. In this thoroughly updataed edition, he divides the material into horizontal levels of a complete machine vision system. Application case studies demonstrate specific techniques and illustrate key constraints for designing real-world machine vision systems. * Includes solid, accessible coverage of 2-D and 3-D scene analysis. * Offers thorough treatment of the Hough Transform - a key technique for inspection and surveillance. * Brings vital topics and techniques together in an integrated system design approach. * Takes full account of the requirement for real-time processing in real applications. E. R. Davies is Professor of Machine Vision at Royal Holloway, University of London. He has published over 180 papers and two books - Electronics, Noise and Signal Recovery (1993), and Image Processing for the Food Industry (2000) - as well as the present volume. Davies is on the editorial boards of Real-Time Imaging, Pattern Recognition Letters, and Imaging Science. He holds a DSc at the University of London and is a Fellow of the loP and the IEE, and a Senior Member of the IEEE. ---------------------------------------- Title : Stochastic Local Search Foundtions and Applications\\ Authors : Hoos, Holger H., Stutzle, Thomas\\ Year : 2005\\ ISBN : 1-55860-872-9\\ Publisher : Morgan Kaufmann Publishers\\ "Stochastic local search is a powerful search technique for solving a wide range of combinatorial problems. If you only want to read one book on this important topic, you should read Hoos and Stutzle's text." - Toby Walsh, Cork Constraint Computation Centre, University College Cork "This book provides remarkable coverage and synthesis of the recent explosion of work on randomized local search algorithms. It will serve as a good textbook for classes on heuristic search and metaheuristics as well as a central reference for researchers." - David L. Woodruff, University of California, Davis Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for solving computationally difficult problems in many areas of computer science and operations research, including propositional satisfiability, constraint satisfaction, routing, and scheduling. SLS algorithms have also become increasingly popular for solving challenging combinatorial problems in many application areas, such as e-commerce and bioinformatics. Hoos and Stutzle offer the first systematic and univied treatment of SLS algorithms. In this groundbreaking book, they examine the general concepts and specific instances of SLS algorithms and carefully consider their development, analysis, and application. The discussion focuses on the most successful SLS methods and explores their underlying principles, properties, and features. This book gives hands-on experience with some of the most widely used search techniques, and provides readers with the necessary understanding and skills to use this powerful tool. Features: * Provides the first unified view of the field. * Offers an extensive review of state-of-the-art stochastic local search algorithms and their applications. * Presents and applies an advanced empirical methodology for analyzing the behavior of SLS algorithms. * A companion website offers lecture slides as well as source code and java applets for exploring and demonstrating SLS algorithms. --------------------------------------- Title : Knowledge-Based Clustering - From Data to Inf. Granules\\ Author : Pedrycz, Witold\\ Year : 2005\\ ISBN : 0-471-46966-1\\ Publisher : Wiley-Interscience\\ Knowledge-Based Clustering demonstrates how to design navigational platforms that enable information seekers to make sense of and better exploit highly diverse and heterogeneous sets of data. Moving beyond fuzzy clustering the author shows how the promising new paradigm of knowledge-based clustering can reveal more meaningful data structure and enable society to better cope with the ever-growing flood of data and information. With this book readers come to understand the fundamentals of knowledge-based clustering and its associated algorithms, and then learn to apply their knowledge to system modeling and design. The book begins with an introduction to the field and a discussion of fuzzy clustering and granular computing. Then, the author delves into logic-based neurons and ensuing neural networks. The core part of the book consists of nine chapters in which highly diversified methodologies of knowledge-based clustering are presented and nalyzed. The third section of the book is devtoed to models, beginning with a discussion of the hyperbox architectures and then moving on to granular mappings and linguistic models. All the tools and guidance needed to understand an master this exciting new field are provided: * Numerous practical examples illustrating key concepts * Reproducible experiments that offer readers the opportunity for hands-on-experience * Comprehensive coverage of prerequisites that set the foundation of complex algorithms and modeling * Conclusion section at the end of each chapter that emphasizes the key points needed to move forward in the text * References plus an extensive bibliography leading to further avenues of exploration on specialized topics This is must reading for researchers, professionals, and students interested in clustering, fuzzy clustering, unsupervised learning, neural networks, fuzzy sets, pattern recognition and system modeling. With the author's emphasis on mastering the prerequisites, couples with carefully constructed practical examples and experiments, readers will be well on their way to becoming knowledge-based clustering experts themselves. Witold Pedrycz, PhD, is a Professor and Canada Research Chair at the University of Alberta, Canada. He is also with the Systems Research Institute of The Polish Academy of Sciences, Warsaw, Poland. Dr. Pedrycz is a Fellow of the IEEE, has authored nine research monographs, edited six volumes, and has written numerous papers in computational intelligence, granular computing, pattern recognition, quantitative software engineering, and data mining. YEAR - 2004 ----------- Title: Introduction to Machine Learning\\ Author: Alpaydin, Ethem\\ Year: 2004\\ ISBN: 0-262-01211-1 (hc)\\ Publisher: The MIT Press\\ The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. In order to present a unified treatment of machine learning porblems and solutions, it discusses many methods from different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The book can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods. After an introduction that defines machine learning and gives examples of machine learning applications, the book covers supervised learning. Bayesian decision theory, parametric methods, multivariate methods, dimensionality reduction, clustering, nonparametric methods, decision trees, linear discrimination, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, combining multiple learners, and reinforcement learning. Ethem Alpaydin is Professor in the Department of Computer Engineering at Bogazici University, Istanbul. -------------------------------- Title: A Semantic Web Primer\\ Authors: Antoniou, Grigoris \& van Harmelen, Frank\\ Year: 2004\\ ISBN: 0-262-01210-3\\ Publisher: The MIT Press\\ The development of the Semantic Web, with machine-readable content, has the potential to revolutionize the World Wide Web and its use. In A Semantic Web Primer Grigoris Antoniou and Frank van Harmelen provide an introduction and guide to this emerging field, describing its key ideas, languages, and technologies. Suitable for use as a textbook or for self-study by professionals, the book concentrates on undergraduate-level fundamental concepts and techniques that will enable readers to proceed with building applications on their own and includes exercises, project descriptions, and annotated references to relevant online materials. A Semantic Web Primer is the only available book on the Semantic Web to include a systematic treatment of the different languages [XML, RDF, OWL, and rules] and technologies [explicit metadata, o ntologies, and logic and inference] that are central to Semantic Web development. The book also examines such crucial related topics as ontology engineering and application scenarios. After an introductory chapter, topics covered in succeeding chapters include XML and related technologies that support semantic interoperability; RDF and RDF Schema, the standard data model for machine-processible semantics; and OWL, the W3C-approved standard for a Web ontology language that is more extensive than RDF Schema; rules, both monotonic and nonmonotonic, in the framework of the Semantic Web; selected application domains and how the Semantic Web would benefit them; the development of ontology-based systems; and current debates on key issues and predictions for the future. Grigoris Antoniou is Professor at the Institute for Computer Science, FORTH [Foundation for Research and Technology-Hellas]. Heraklion, Greece. Frank van Harmelen is Professor in the Department of Artificial Intelligence at the Vrije Universiteit, Amsterdam, the Netherlands. Cooperative Information Systems series "A book we have been waiting for: a concise yet detailed introduction to the basic concepts and methods for the semantic Web." - Rudi Studer, Institute AIFB, University of Karlsruhe, Germany "This book is a great introduction to the Semantic Web and in particular to the new languages [RDF Schema and OWL] that have recently become standard for it. I am using the book with my undergraduate Semantic Web class, and the students find it well written and clear. For those who want to roll up their sleeves and learn about this emerging technology, this book will be a powerful tool." - James Hendler, Professor, Computer Science Department, University of Maryland "This is an excellent and much-needed book. It gives the reader a broad introduction to the motivation behind the Semantic Web, as well as its applications and supporting technologies." - I an Horrocks, Department of Computer Science, University of Manchester, United Kingdom. --------------------------------------------- Title: Models of a Man - Essays in memory of Herbert A. Simon\\ Editors: Augier \& March, J. G.\\ Year: 2004\\ ISBN: 0-262-01208-1\\ Publisher: The MIT Press\\ Herbert Simon (1916-2001), in the course of a long and distinguished career in the social and behavioral sciences, made lasting conributions to many disciplines, including economics, psychology, computer Science, and artificial intelligence. In 1978 he was awarded the Nobel Prize in economics for his research into decision-making processes within economic organizations. His well-known book The Sciences of the Artificial addresses the implications of the decision-making and problem-solving processes for the social sciences. This book (the title is a variation on the title of Simon's autobiography, Models of My Life) is a collection of short essarys, all original, by colleagues from many fields who felt Simon's influence and mourn his loss. Mixing reminiscence and analysis, the book represents ``a small acknowledgment of a large debt". Each of the more than forty contributors was asked to write about the one work by Simon that he or she had found most influential. The editors then grouped the essays into four sections: ``Modeling Man,'' ``Organizations and Administration,'' ``Modeling Systems,'' and ``Minds and Machines.'' The contributors include such prominent figures as Kenneth Arrow, William Baumol, William Cooper, Gerd Gigerenzer, Daniel Kahneman, David Klahr, Franco Modigliani, Paul Samuelson, and Vernon Smith. Although they consider topics as disparate as ``Is Bounded Rationality Unboundedly Rational?'' and ``Personal Recollections from 15 years of Monthly Meetings,'' each essay is a testament to the legacy of Herbert Simon - to see the unity rather then the divergences among disciplines. Mie Augier is postdoctoral fellow at Stanford University, where James G. March is a professor emeritus. CONTRIBUTORS: Albert Ando, Kenneth J. Arrow, Mie Augier, William Baumol, Philip Bromiley, John Conlisk, Willian W. Cooper, Richard H. Day, William Dill, Giovanni Dosi, Peter Earl, Massimo Egidi, Edward Feigenbaum, Julian Feldman, Katherine Simon Frank, Shane frederick, Gerd Gigerenzer, Robert Goodin, Harold Guetzkow, Charles Halt, Yuji lijiri, Daniel Kahneman, David Klahr, Kenneth Kotovsky, David M. Kreps, Axel Leijonhufvud, Brian Loasby, Pat Langley, James G. March, Luigi Marengo, Pamela McCorduck, George A. Miller, Franco Modigliani, John F. Muth, Joseph C. Pitt, Jason Potts, Roy Radner, Paul A. Samuelson, Reinhard Selten, Vernon L. Smith, Shyam Sunder, Ferenc Szidarovsky, Raul Valdes-Perez, Oliver Williamson, Sidney G. Winter --------------------------------------------- Title: What Is Thought?\\ Author: Baum, Eric B.\\ Year: 2004\\ ISBN: 0-262-025448-5\\ Publisher: The MIT Press\\ In What Is Thought? Eric Baum proposes a computational explanation of thought. Just as Erwin Schrodinger in his classic 1944 work What Is Life? argued ten years before the discovery of DNA that life must be explainable at a fundamental level by physics and chemistry, Baum contends that the present-day inability of computer science to explain thought and meaning is no reason to doubt that there can be such an explanation. Baum argues that the complexity of mind is the outcome of evolution, which has built thought processes that act unlike understand the mind we need to understand these thought processes and the evolutionary process that produced them in computational terms. Baum proposes that underlying mind is a complex but compact program that corresponds to the underlying structure of the world. He argues further that the mind is essentially programmed by DNA. We learn more rapidly than computer scientists have so far been able to explain because the DNA code has programmed the mind to deal only with meaningful possibilities. Thus the mind understands by exploiting semantics, or meaning, for the purposes of computation; constraints are built in so that although there are myriad possibilities, only a few make sense. Evolution discovered corresponding subroutines or shortcuts to speed up its processes and to construct creatures whose survival depends on making the right choice quickly. Baum argues that the structure and nature of thought, meaning, sensation, and consciousness therefore arise naturally from the evolution of programs that exploit the compact structure of the world. Eric B. Baum has held positions at the University of California at BErkeley, Caltech, MIT, Princeton, and the NEC Research Institute. He holds a B.A. and M.A. from Harvard and a Ph.D. in physics from Princeton. He is currently developing algorithms based on machine learning and Bayesian reasoning to found a hedge fund. -------------------------------------------------- Title: Participatory IT Design - Designing for Business\\ and Workplace Realities\\ Author: Bodker, K., Kensing, F. \& Simonsen, J.\\ Year: 2004\\ ISBN: 0-262-02568\\ Publisher: The MIT Press\\ The goal of participatory IT design is to set sensible, general, and workable guidelines for the introduction of new information technology systems into an organization. Reflecting the latest systems-development research, this book encourages a business-oriented and socially sensitive approach that takes into consideration the specific organizational context as well as first-hand knowledge of users' work practices and allows all stakeholders-users, management, and staff-to participate in the process. Participatory IT Design is a guide to the theory and practice of this process that can be used as a reference work by IT professionals and as a textbook for classes in information technology at introductory through advanced levels. Drawing on the work of a ten-year research program in which the authors worked with Danish and American companies, the book offers a frameswork for carrying out IT design projects as well as case studies that stand as examples of the process. The method presented in PARTICIPATORY IT Design-known as the MUST method, after a Danish acronym for theories and methods of initial analysis and design activities - was developed and tested in thirteen industrial design projects for companies and organizations that included an American airline, a multinational pharmaceutical company, a national broadcasting corporation, a multinational software house, and American and Danish universities. The first part of the book introduces the concepts and guidelines on which the method is based, while the second and third parts are designed as a practical toolbox for utilizing the MUST method. Part II describes the four phases of a design project-initiation, in-line analysis, in-depth analysis, and innovation. Part III explains the method's sixteen techniques and related representation tools, offering first an overview and then specific descriptions of each in separate sections. Keld Bodker and Jesper Simonsen are Associate Professors of Computer Science at Roskilde University, Denmark, Finn Kensing is Associate Professor at The IT University of Copenhagen, Denmark. "This book provides an excellent argument and a repertoire of well-tested methods for an early design phase in IT systems development. Based on the suthors' experiences with developing, testing, and tutoring professionals in the use and design of commercial IT systems, the book provides the reader with a solid ground for teaching and practicing participatory IT design." - Thomas Binder, Center for Design Research, School of Architecture, Copenhagen ------------------------------------------------ Title: Talking With Computers - Explorations in the Science\\ and Technology of Computing\\ Author: Dean, Thomas\\ Year: 2004\\ ISBN: 0-521-83425-2 - ISBN 0-521-54204-9(pb)\\ Publisher: Cambridge University Press\\ In this lively series of essays, Tom Dean explores interesting fundamental topics in computer science with the aim of showing how computers and computer programs work and how the various subfields of computer science are connected. Along the way, he conveys his fascination with computers and enthusiasm for working in a field that has changed almost every aspect of our daily lives. The essays touch on a wide range of topics, from digital logic and machine language to artifcial intelligence and searching the world wide web, considering such questions as * How can a computer learn to recognize junk email? * What happens when you click on a link in a browser? * How can you program a robot to do two things at once? * Are there limits on what computers can do? The author invites readers to experiment with short programs written in several languages. Through these interactions he grounds the models and metaphors of computer science and makes the underlying computational ideas more concrete. The accompanying web site www.cs.brown.edu/~tld/talk provides easy access to code fragments from the book, tips on finding and installing software, links to online resources, exercises, and sample lectures. -------------------------------------------------- Title: Ant Colony Optimization\\ Author: Dorigo, Marco \& Stutzle, Thomas\\ Year: 2004\\ ISBN: 0-262-04219-3\\ Publisher: The MIT Press\\ The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one aspect of any behavior, the ability to find what computer scientists would call shortest paths, has become the field of any colony optimization (ACO), the most successful and widely recognized algorithmic technique based on ant behavior. This book presents an overview of this rapidly growing field, from its theoretical inception to practical applications, including descriptions of many available ACO algorithms and their uses. The book first describes the translation of observed ant behavior into working optimization algorithms. The ant colony metaheuristic is then introduced and viewed in the general context of combinatorial optimization. This is followed by a detailed description and guide to all major ACO algorithms and a report on current theoretical findings. The book surveys ACO applications now in use, including routing, assignment, scheduling, subset, machine learning, and bioinformatics problems. AntNet, and ACO algorithm designed for the network routing problem, is described in detail. The authors conclude by summarizing the progress in the field and outlining future research directions. Each chapter ends with bibliographic matearial, bullet points setting out important ideas covered in the chapter, and exercises. And Colony Optimization will be of interest to academic and industry researchers, graduate students, and practioners who wish to learn how to implement ACO algorithms. Marco Dorigo is research director of the IRIDIA lab at the Universite Libre de Bruxelles and the inventor of the ant colony optimization metaheuristic for combination problems. He has received the Marie Curie Excellence Award for his research work on ant colony optimization and ant algorighms. He is the coauthor of ROBOT SHAPING (MIT Press, 1998) and SWARM INTELLIGENCE. Thomas Stutzle is Assistant Professor in the Computer Science Department at Darmstadt University of Technology. Marco Dorigo and Thomas Stutzle impressively demonstrate that the importance of any behavior reaches far beond the sociobiological domain. Ant Colony Optimization presents the most successful algorithmic techniques to be developed on the basis of any behavior. This book will certainly open the gates for new experimental work on decision making, division of labor, and communicatipn; moreover, it will also inspire all those studying patterns of self-organization." Bert Holldobler, Professor of Behavioral Physiology and Sociobiology, Biozentrum, University of Wurzburg, Germany "Inspired by the remarkable abiligy of social insects to solve problems, Dorigo and Stutzle introduce highly creative new technological design principles for seeking optimized solutions to extremely difficult real-world problems, such as network routing and task scheduling. This is essential reading not only for those working in artificial intelligence and optimization, but for all of us who find the interface between biology and technology fascinating." Lain D. Couzin, Princeton University and University of Oxford ------------------------------------------------- Title: Jacquard's Web - How a hand loom led to the birth of the information age\\ Author: Essinger, James\\ Year: 2004\\ ISBN: 0192805770\\ Publisher: Oxford University Press\\ Jacquard's Web is the fascinating story of how Joseph-Marie Jacquard, a master silk-weaver in Napoleonic France, invented a loom that was to spark the beginning of today's information age. This astonishing new loom enabled the master weavers of Lyons to create their beautiful silk fabrics 25 times faster than had ever been possible before. This device used revolutionary punched cards to store instructions for weaving the required pattern or design. The loom proved an outstanding success, and these cards are now rightly viewed as the world's first computer programs. In this previously untold story, James Essinger brings to light a series of historical links that reveal the extraordinary relationship between the nineteenth-century world of weaving and today's computer age. Along the way, he introduces a cast of colourful, passionate, and often eccentric characters. These include two of the most intriguing people in the history of science and technology: Charles Babbage, the great Victorian scientist and thinker, and the beautiful and witty Countess of Lovelace, Lord Byron's daughter, who played a crucial role in developing Babbage's work. The book also tells the stories of the other pioneers who helped transform the technology of the punched-card loom into the modern computer. People such as Herman Hollerith, the brilliant German-American inventor; Thomas Watson, the founder of IBM; and Howard Aiken, who built one of the world's very first computers. James Essinger concludes by bringing the story completely up-to-date with the latest developments in the World Wide Web and the fascinating phenomenon of artificial intelligence. James Essinger is a writer with a particular interest in the history of ideas that have had a practical impact on the modern world. He is currently working on a novel about Charles Babbage and Ada Lovelace and on a popular history of the written word. 'A fine excavation of Jacquard, and a deft handling of the seemingly unlikely link between a weaving loom and modern computing.' - Doron Swade (Computer Historian) Jacquard's Web tells one of the greatest untold stories of science: how the Jacquard loom, invented in 1804 by a weaver and ex-soldier named Joseph-Marie Jacquard, caused a revolution in the potential of machinery that is still going on today. In this fascinating and engaging tale, James Essinger traces the 200-year evolution of Jacquard's idea from the studios of eighteenth-century French weavers, through the Industrial Revolution of the nineteenth century, to the information revolution of the twentieth century and to the billions of desktop computers that we rely on around the world today. ------------------------------------------------ Title: Imitation of Life - How Biology is Inspiring Computing\\ Author: Forbes, Nancy\\ Year: 2004\\ ISBN: 0-262-06241-0\\ Publisher: The MIT Press\\ As computers and tasks they perform become increasingly complex, researchers are looking to nataure - as model and as metaphor- for inspiration. The organization and behavior of biological organisms present scientists with an invitation to reinvent computing for the complex tasks of the future. In IMITATION OF LIFE Nancy Forbes sureys the emerging field of biologically inspired computing, looking at some of the most impressive and influential examples of this fertile synergy. Forbes points out that the influence of biology on computing goes back to the early days of computer science - John von Neumann, the architect of the first digital computer, used the human brain as the model for his design. Inspired by von Neumann and other early visionaries, as well as by her work on the Ultrascale Computing project at the Defense Advanced Research Projects Agency (DARPA), Forbes describes the exciting potential of these revolutionary new echnologies. She identifies three strains of biologically inspired computing: the use of biology as a metaphor or inspiration for the development of algorithms; the construction of information processing systems that use biological materials or are modeled on biological processes, or both; and the effort to understand how biological organisms ``compute,'' or process information. Forbes then shows us how current researchers are using these approaches. In successive chapters, she looks at artificial neural networks; evolutionary and genetic algorithms, which search for the ``fittest'' among a generagion of solutions; cellular automata; artificial life - not just a simulation, but ``alive'' in the internal ecosystem of the computer; DNA computation, which uses the encoding capability of DNA to devise algorithms; self-assembly and its potential use in nanotechnology; amorphous computing, modeled on the kind of cooperation seen in a colony of cells or a swarm of bees; computer immune systems; biohardware and how bioelectronics compares to silicon; and the ``computational'' properties of cells. Nancy Forbes works as a science and technology analyst for the federal government. She has advanced degrees both in physics and the humanities, and has served as a contributing editor for the The Industrial Physicist and Computing in Science and Engineering. ------------------------------------------------ Title: Designing Autonomous Mobile Robots\\ Author: Holland, John M.\\ Year: 2004\\ ISBN: 0-7506-7683-3\\ Publisher: Elsevier\\ Design your own state-of-the-art mobile robots with the help of this practical guide by renowned author and robotics pioneer John Holland! Mobile robotics is experiencing a boom! From the popularity of robot wars programs on TV to the breathtaking rapidity of advances in artificial intelligence research, there is ample evidence all around us that the creation of mobile robots is a burgeoning technological area. With this book, "The Father of Mobile Robotics" distills over twenty years of experience at the forefront of the industry, making his expertise available to everyone. He provides clear explanations and state-of-the art treatments of core concepts, as well as practical advice on organizing projects, which will help readers to perfect their designs, and challenge them to explore new avenues in this exciting field. This authoritative and readable guide gives readers all the tools and information needed to put concepts into practice, with particular emphasis on the more difficult problems of control, navigation, and communications. An added bonus is the author's liberal use of case histories and anecdotes that provide a colorful - and enlightening - background for the technical information. With coverage of topics including advanced sensor fusion, control systems for a wide array of application sensors and instrumentation, and fuzzy logic applications, this volume is essential reading for engineers undertaking robotics projects, as well as undergraduate and graduate students studying robotic engineering, artificial intelligence, and cognitive science. The accompanying CD-ROM provides source code for the examples cited, as well as an electronic version of the text. ------------------------------------------------- Title: Dictionary of Cognitive Science\\ Editor: Houde, Olivier\\ year: 2004\\ ISBN: 1-57958-251-6\\ Publisher: Psychology Press\\ (No cover materials) ------------------------------------------------- Title: Data Mining\\ Editors: Kargupta H, Joshi, A., Sivakumar, K., Yesha, Y.\\ Forword : Uthurusamy, Ramasamy\\ Year : 2004\\ ISBN : 0-262-61203-8\\ Publisher: AAAI Press / The MIT Press\\ Data mining, or knowledge discovery, has become an indispensable technology for businesses and researchers in many fields. Drawing on work in such areas as statistics, machine learning, pattern recognition, databases, and high performance computing, data mining extracts useful information from the large data sets now available to industry and science. This collection surveys the most recent advances in the field and charts directions for future research. The first part looks at pervasive, distributed, and stream data mining, discussing topics that include distributed data mining algorithms for new application areas, several aspects of next-gneration data mining systems and applications, and detection of recurrent paterns in digital media. The second part considers data mining, counter-terrorism, and privacy concerns, examining such topics as biosurveillance, marshalling evidence through data mining; topics include mining temporally-varying phenomena, data sets using graphs, and spatial data mining. The last part considers web, semantics, and data mining, examining advances in text mining algorithms and software, semantic webs, and other subjects. -------------------------------------------------- Title: Bayesian Artificial Intelligence\\ Author: Korb, Kevin B.\\ Year: 2004\\ ISBN: 1-58488-387-1\\ Publisher: Chapman & Hall/CRC Data mining with Bayesian networks and the deployment of Bayesian networks in industry and government are two of the most promising areas in applied artificial intelligence (AI) today. Fully realizing this potential demands a solid foundation that integrates basic Baysian network technology with learning of Bayesian net technology and the use of both for knowledge engineering. BAYESIAN ARTIFICIAL INTELLIGENCE presents elements of Bayesian network technology, automated causal discovery, and learning probabilities from data along with examples of using these technologies to develop probabilistic expert systems. This practical, very accessible introductionbalances the causal discovery of networks with the Bayesian inference procedures that use a network once it is found. The authors emphasize understanding and intuition, so they keep the mathematical details to a minimum, but also provide the algorithms and technical background needed for applications. They illustrate at length a number of applications, discuss application software in detail, and maintain a Web site that contains a wealth of supplemental materials, including software, exercises, and solutions. A broad range of topics, practical perspective, and thoughtful discussion of philosophical underpinnings make Bayesian Artificial Intelligence an ideal introduction for students and for professionals who want to broaden their expertise. It provides the knowledge they need to put Bayesian network tools into practice, and it forms a basis for a more detailed investigation of the technology, original research, and further advances in the field. -------------------------------------------------\\ Title: Thoughtful Interaction Design - A Design Perspective on\\ Information Technology\\ Authors: Lowgren, Jonas \& Stolterman, Erik\\ Year: 2004\\ ISBN: 0-262-12271-5\\ Publisher: The MIT Press\\ The authors of Thoughtful Interaction Design go beyond the usual technical concerns of usability and usefulness to consider interaction design from a design perspective. The shaping of digital artifacts is a design process that influences the form and functions of workplaces, schools, communication, and culture; the successful interaction designer must use both ethical and aesthetic judgment to create designs that are appropriate to a given environment. This book is not a how-to manual, but a collection of tools for though about interaction design. Working with information technology - called by the authors "the material without qualities" - interaction designers create not a static object but a dynamic pattern of interactivity. The design vision is closely linked to context and not simply focused on the technology. The authors' action-oriented and context-dependent design theory, drawing on design theorist Donald Schon's concept of the reflective practitioner, helps designers deal with complex design challenges created by new technology and new knowledge. Their approach, based on a foundation of thoughtfulness that acknowledges the designer's responsibility not only for the functional qualities of the design product but for the ethical and aesthetic qualities as well, fills the need for a theory of interaction design that can increase and nurture design knowledge. From this perspective they address the fundamental question of what kind of knowledge an aspiring designer needs, discussing the process of design, the designer, design methods and techniques, the design product and its qualities, and conditions for interaction design. Jonas Lowgren is Professor of Interaction Design at Malmo University, Sweden. Erik Stolterman is Professor of Informatics at Umea University, Sweden. "This is a fantastic book, one that reminds us that academic theories and design practice need not be artificially separated, as they are in many universities today. And it is refreshing to see someone really defining the digital design process and its related conceptual tools. Until now, digital design has mostly involved engineers borrowing feebly from the designer's toolbox, and then adding in a bit of human dimension research for good measure. Here, Lowgren and Stolterman have situated digital design in the long and productive history of design process and critical thinking. Congratulations and thanks!" - Jeff Jones, Queensland University of Technology, and Australasian CRC for Interaction Design (ACID). ------------------------------------------------\\ Title: Random Graphs for Statistical Pattern Recognition\\ Author: Marchette, David J.\\ Year: 2004\\ ISBN: 0-471-22176\\ Publisher: Willey-Interscience\\ Random Graphs for Statistical Pattern Recognition is the first book to address the topic of random graphs as it applies to statistical pattern recognition. Both topics are of vital interest to researchers in various mathematical and statistical fields and have never before been treated together in one book. The use of data random graphs in pattern recognition in clustering and classification is discussed, and the applications for both disciplines are enhanced with new tools for the statistical pattern recognition community. New and interesting applications for random graph users are also introduced. This important addition to statistical literature features: * Information that previously has been available only through scattered journal articles * Practical tools and techniques for a wide range of real-world applications * New perspectives on the relationship between pattern recognition and computational geometry * Numerious experimental problems to encourage practical applications With its comprehensive coverage of two timely fields, enhanced with many references and real-world examples, RANDOM GRAPHS FOF STATISTICAL PATTERN RECOGNITION is a valuable resource for industry professionals and students alike. David J. Marchette, PhD. is a researcher at the Naval Surface Warfare Center in Dahlgren, Virginia, where he investigates computational statistics and pattern recognition, primarily as it applies to image processing, automatic target recognition, and computer security. He is also an adjunct professor at George Mason University and a lecturer at Johns Hopkins University. ------------------------------------------------- Title: New Directions in Question Answering\\ Editor: Maybury, Mark T.\\ Year: 2004\\ ISBN: 0-262-63304-3\\ Publisher: AAAI Press/ The MIT Press\\ Question answering systems, which provide natural language responses to natural language queries, are the subject of rapidly advancing research encompassing both academic study and commercial applications, the most well-known of which is the search engine Ask Jeeves. Question answering draws on different fields and technologies, including natural language processing, information retrieval, explanation generation, and human computer interaction. Question answering creates an important new method of information access and can be seen as the natural step beyond such standard Web searach methods as keyword query and document retrieval. This collection charts significant new directions in the field, including temporal, spatial, definitional, biographical, multimedia, and multilingual question answering. After an introduction that defines essential terminology and provides a roadmap to future trends, the book covers key areas of research and development. These include current methods, architecture requirements, and the history of question answering on the Web; the development of systems to address new types of questions; intervectivity, which is often required for clarification of questions or answers; reuse of answers; advanced methods; and knowledge representation and reasoning used to support question answering. Each section contains an introduction that summarizes the chapters included and places them in context, relating them to the other chapters in the book as well as to the existing literature in the field and assessing the problems and challenges that remain. Mark T. Maybury is Executive Director of the Information Technology Division at the MITRE Corporation in Bedford, Massachusetts. He is the editor of Intelligent Multimedia Interfaces (AAAI/MIT Press 1993) and Intelligent Multimedia Information Retrieval (AAAI/MIT Press 1997) and coeditor of Readings on Intelligent User Interfaces, Advances in Text Summarization (MIT Press 1999), and Advances in Knowledge Management (MIT Press 2001). ------------------------------------------------ Title: Ontological Semantics\\ Author: Nirenburg, Sergei \& Raskin, Victor\\ Year: 2004\\ ISBN: 0-262-14086\\ Publisher: The MIT Press\\ In Ontological Semantics Sergei Nirenburg and Victor Raskin introduce a comprehensive approach to the treatment of text meaning by computer. Arguing that being able to use meaning is crucial to the success of natural language processing (NLP) applications, the depart from the ad hoc approach to meaning taken by much of the NLP community and propose theory-based semantic methods. Ontlogical semantics, an integrated complex of theories, methodologies, descriptions, and implementations, attemps to systematize ideas about both semantic description as representation and manipulation of meaning by computer programs. It is built on alreasy coordinated "microtheories" covering such diverse areas as specific languge phenomena, processing heuristics, and implementation system architecture rather than on isolated components requiring future integration. Ontlogical semantics is constantly evolving, driven by the need to make meaning manipulation tasks such as text analysis an text generation work. Nirenburg and Raskin have therefore developed a set of heterogeneous methods suited to a particular task and coordinated at the level of knowledge acquisition and runtime system architecture imlementations, methodology and also allows for a variable level of automation in all its processes. Nirenburg and Raskin first discuss ontological semantics in relation to other fields, including cognitive science and the AI paradigm the philosophy of science, linguistic semantics and the philosophy of language, computational lexical semantics, and studies in formal ontology. They then describe the content of ontological semantics, discussing text-meaning representation, static knowlege sources (including the ontology, the fact repository, and lexicon), the processes involved in text analysis, and the acquisition of static knowledge. Sergi Nirenburg is Professor of Computer Science and Electrical Engineering at the University of Maryland, Baltimore Contry, Victor Raskin is Professor of English and Linguistics at Purdue University. ----------------------------------------------- Title: Intelligent Watermarking Techniques\\ Editors: Pan, J-S., Huang, H-C., Jain, L. C.\\ Year: 2004\\ ISBN: 981-238-955-5\\ Publisher: World Scientific\\ Watermarking techniques involve the concealment of information within a text or images and the transmission of this information to the receiver with minimum distortion. This is a very new area of research. The techniques will have a significant effect on defence, business, copyright protection and other fields where information needs to be protected at all costs from attckers. This book presents the recent advances in the theory and implementation of watermaking techniques. It brings together, for the first time, the successful applications of intelligent paradigms (including comparisons with conventional methods) in many areas. The accompanying CD-Rom provides readers with source codes and executables to put into practice general topics in watermarking. Intelligent Watermarking Techniques will be of great value to undergraduate and postgraduate students in many disciplines, including engineering and computer science. It is targeted at researchers, scientists and engineers. ---------------------------------------------- Title: Artificial Life IX\\ Editors: Pollack, J. \& Bedau, M. \& Husbands, P. \& Ikegami, T. et. al.\\ Year: 2004\\ ISBN: 0-262-66183-7\\ Publisher: The MIT Press\\ ARTIFICIALLIFE IX Proceedings of the Ninth International Conference n the Simulation and Synthesis of Living Systems edited by Jordan Pollack, Mark Bedau, Phil Husbands, Takashi Ikegami, and Richard A. Watson Artificial Life is an interdisciplinary effort to investigate the fundamental properties of living systems through the simulation and synthesis of life-like processes. The field brings a powerful set of tools to the study of how high-level behavior can arise in systems governed by simple rules of interaction. Some of the fundamental questions include: * What are the principles of evolution, learning, and growth that can be understood well enough to simulate as an information process? * Can robots be built faster and more cheaply by mimicking biology than by the product design process used for automobiles and airplanes? * How can we unify theories from dynamical systems, game theory, evolution, computing, geophysics, and cognition? The field has contributed fundamentally to our understanding of life itself through computer models, and has led to novel solutions to complex real-world problems across high technology and human society. This elite biennial meeting has grown from a small workshop in Santa Fe to a major international conference. This ninth volume of the proceedings of the international A-life conferenc reflects the growing quality and impact of this interdisciplinary scientific community. Jordan Pollack is Associate Professor and Director of the Dynamical and Evolutionary Machine Organization Group in the School of Computer Science at Brandeis University. Mark Bedau is Professor of Philosophy and Humanities at Reed College and editor-in-chief of the journal ARTIFICIAL LIFE. Phil Husbands is Professor of Computer Science and Artificial Intelligence in the Department of Informatics at the University of Sussex. Takashi Ikegami is Associate Professor in the Graduate School of Arts and Sciences at the University of Tokoyo. Richard A. Watson is a Postdoctoral Fellow in the Department of Organismic and Evolutionary Biology at Harvard University. ---------------------------------------------- Titel : From animals to animats 8\\ Editors : Schaal, S., Ljspeert, A., Billard, \& et al.\\ Year : 2004\\ ISBN : 1089-4365\\ ISBN : 0-262-69341\\ Proceedings of the Eighth International Conference on the Simulation of Adaptive Behavior edited by Stefan Schaal, Auke Ljspeert, Aude Billard, Sethu Vijayakumar, John Hallam, and Jean-Arcady Meyer The biannual International Conference on the Simulation of Adaptive Behavior brings together researchers from ethology, psychology, ecology, artificial intelligence, artificial life, robotics, engineering, and related fields to advance the understanding of behaviors and underlying mechanisms that allow natural and synthetic agents (animats) to adapt and survive in uncertain environments. The work presented focuses on well-defined models-robotic, computer simulation, and mathematical--the help to characterize and compare various organizational principles or architectures underlying adaptive behavior in both animals and animats. The proceedings of the eighth conference treat such topics as passive and active perception, navigation and mapping, collective and social behavior, and applied adaptive behavior. Stefan Schaal is Associate Professor in the Department of Computer Science and the Neuroscience Program at the University of Southern California. Auke Ljspeert is SNF Assistant Professor and Head of the Biologically Inspired Robotics Group in the School of Computer and Communication Sciences at the Swiss Federal Institute of Technology, Lausanne. Aude Bilard is SNF Professor in the School of Engineering at the Swiss Federal Institute of Technology, Lausanne. Sethu Vijayakumar is Lecturer and Head of the Statistical Learning and Motor Control Group in the School of Informatics at the University of Edinburgh. John Hallam is Associate Professor at the University of Southern Denmark and Senior Lecturer in the School of Informatics at the University of Edinburgh. Jean- Arcady Meyer is CNRS Research Director and Head of the AnimatLab in the Department of Computer Science at the Universite Pierre et Marie Curie, Paris. ---------------------------------------------- Title : Kernel Methods in Computational Biology\\ Editors : Scholkopf, B., Tsuda, K., \& Vert J-P.\\ Year : 2004\\ ISBN : 0-262-19509-7\\ Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology problems. One branch of machine learning, kernel methods, lends itself particularly well to the difficult aspects of biological data, which include high dimensionality (as in microarray measurements), representation as discrete and structured data (as in DNA or amino acid sequences), and the need to combine heterogeneous sources of information. This book provides a detailed overview of current research in kernel methods and their applications to computational biology. Following three introductory chapters - an introduction to molecular and computational biology, a short review of kernel methods that focuses on intuitive concepts rather than technical details, and a detailed survey of recent applications of kernel methods in computational biology - the book is divided into three sections that reflect three general trends in current research. The first part presents different ideas for the design of kernel functions specifically adapted to various biological data; the second part covers different approaches to learning from heterogeneous data; and the third part offers examples of successful applications of support vector machine methods. Bernhard Scholkopf is Director at the Max Planck Institute for Biological Cybermetics in Tubingen, Germany and Professor at the Technical University Berlin. Koji Tsudo is a Research Scientist at the Max Planck Institute and Researcher at AIST Computational Biology Research Center, Tokyo. Jean-Philippe Vert is Researcher and Leader of the Bioinformatics Group at Ecole des Mines de Paris. "This timely collection will be an asset to anyone working with microarray data, and those involved with computational biology more generally should be aware of it." - Jun Liu, Professor of Statistic, Harvard University "This unique collection admirably covers the topic of using kernel methods to study biological data, providing up-to-date treatment of work in the field." - Junhyong Kim, Department of Biology, University of Pennsylvania Also available Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond Bernhard Scholkopf and Alexander J. Smola. Learning with Kernels offers an introduction to support vector machine and related kernel methods. It provides all of the concepts necessary to enable a reader equipped with some basic mathematical knowledge to enter the world of machine learning using theoretically well-founded yet easy-to-use kernel algorithms and to understand and apply the powerful algorithms that have been developed over the last few years. --------------------------------------------- Title: Introduction to Autonomous Mobile Robots\\ Authors: Siegwart, R. \& Nourbakhsh, I. R.\\ Year: 2004\\ ISBN: 0262-19502-X\\ Publisher: The MIT Press\\ Mobile robots range from the teleoperated Sojourner on the Mars Pathfinder mission to cleaning robots in the Paris Metro. Introduction to Autonomous Mobile Robots offers students and other interested readers an overview of the technology of mobility - the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks including locomotion, sensing, localization, and motion planning. It discusses all facets of mobile robotics, including hardware design, wheel design, kinematics analysis, sensors and erception, localization, mapping, and robot control architectures. The design of any successful robot involves the integration of many different disciplines, among them kinematics, signal analysis, information theory, artificial intelligence, and probability theory. Refleting this, the book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter covers a different aspect of mobility, as the book moves from low-level to high-level details. The first two chapters explore low-level locomotory ability, examining robots' wheels and legs and the principles of kinematics. This is followed by an in-depth view of perception, including descriptions of many ``off-the-shelf'' sensors and an analysis of the interpretation of sensed data. The final two chapters consider the higher-level challenges of localization and cognition, discussing successful localization strategies, autonomous mapping, and navigation competence. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook for course-work or a working tool for beginners in the field. Roland Siegwart is Professor and Head of the Autonomous Systems Lab at the Swiss Federal Institute of Technology, Lausanne. Illah R. Nourbakhsh is Associate Professor of Robotics in the Robotics Institute, School of Computer Science, at Carnegie Mellon University. "This book is easy to read and well organized. The idea of providing a robot functional architecture as an outline of the book, and then explaining each component in a chapter, is excellent. I think the authors have achieved their goals, and that both the beginner and the advanced student will have a clear idea of how a robot can be endowed with mobility." - Raja Chatila, LAAS-CNRS, France -------------------------------------------- Title: Design of Logic-based Intelligent Systems\\ Author: Truemper, Klaus\\ Year: 2004\\ ISBN: 0-471-48403\\ Publisher: Wiley Interscience\\ Design of Logic-based Intelligent Systems develops principles and methods for constructing intelligent systems for complex tasks that are readily done by humans but are difficult for machines. Current Artificial Intelligence (AI) approaches rely on various constructs and methods (production rules, neural nets, support vector machines, fuzzy logic, Bayesian networks, etc.). In contrast, this book uses an extension of propositional logic that treats all aspects of intelligent systems in a unified and mathematically compatible manner. Topics include: * Levels of thinking and logic * Special cases: expert systems and intelligent agents * Formulating and solving logic systems * Reasoning under uncertainty * Learning logic formulas from data * Nonmonotonic and incomplete reasoning * Question-and-answer processes * Intelliget systems that construct intelligent systems Design of Logic-based Intelligent Systems is both a handbook for the AI practitioner and a textbook for advanced undergraduate and graduate courses on intelligent systems. Included are more than forty algorithms, and numerous examples and exercises. The purchaser of the book may obtain an accompanying software package (Leibniz System) free of charge via the Internet at leibnizsystems.com Klaus Truemper, PhD, is Professor of Computer Science at the University of Texas at Dallas. He is the author of two other books, including Effective Logic Computation (Wiley). ----------------------------------------------- Title: The Anarchist in the Library\\ Author: Vaidhyanathan, Siva\\ Year: 2004\\ ISBN: 0-465-08984-4\\ Publisher: Basic Books\\ From Napster to Total nformation Awareness to flash mobs, the debates over who gets to control information and technology have revolved around a single question: How closely do we want the virtual world to resemble the real world? But while we weren't looking, the real world has started imitating the virtual world - in some alarming ways. More and more of our social, political, and religious activities are modeling themselves after the World Wide Web, along the lines of either anarchy or oligarchy, total freedom vs. complete control. And battle lines are being drawn. On one side, trying to maintain control of information, are corporations, judges, the military, and global institutions. On the other side, trying to liberate information, are educators, hackers, civil libertarians, artists, consumers, and political dissidents. The Anarchist in the Library, by the rising young academic star Siva Vaidhyanathan, is a radically original look at how this fight will define one of the major fault lines of twenty-first century civilization. The recording industry has sued the music downloaders into submission, but as a model of communication, their effects still echo around the world. The proliferation of such peer-to-peer networks may appear to threaten many established institutions, and the backlash against them could be even worse than the problems they create. Their effects - good and bad - resonate far beyond markets for music. They are altering our sense of the possible, extending our cultural and political imaginations. Unregulated networks of communication have existed as long as gossip has. But with the rise of electronic communication, they are exponentially more important. And they are drawing the contours of a struggle over information that will determine much of the culture and politics of our century, from unauthorized fan edits of STAR WARS to r terrorist organizatons' reliance on "learderless resistance." THE ANARCHIST IN THE LIBRARY is the first guide to one of the most important cultural and economic developments of our time. Siva Vaidhyanathan is the author of Copyrights and Copywrongs: The Rise of Intellectual Property and How it Threatens Creativity. Vaidhyanathan runs the popular weblog Sivacracy.net and has written for many periodicals, including The Chronicle of Higher Education, The New York Times Magazine, MSNBC.com, Salon.com, openDemocracy.net, and The Nation. He has taught at Wesleyan University and University of Wisconsin at Madison, and is currently director of the undergraduate program in communication studies in the Department of Culture and Communication at New York University. He lives in New York City. Praise for The Anarchist in the Library "Siva Vaidhyanathan has done that rare thing - induced me to rethink my position, revise my conclusions, and enjoy doing it. (And quotes me accurately.)" - Randy Cohen, author of the New York Times Magazine Column "The Ethicist" "What a thrilling discovery this book is: erudie, eloquent, imaginative and personable all at once, The Anarchist in the Library will become not only the urtext in an increasingly important field, but also the one that is certainly the most fun to read." - Eric Alterman, author of What Liberal Media? "This beautifully written and widely informed work weaves together a thousand threads into a rich and convincing story about just what's into a rich and convincing story about just what's at stake in the digital age. As Vaidhyanathan powerfully shows, what's at stake has ultimately little to do with things digital. We face a fundamental choice about the nature of cultural freedom. The Internet presents this choice. Against the background of the tapestry that this rising star of culture has crafted, the right choice seems clear." - Lawrence Lessing, Author of Free Culture and The Future of Ideas "This excellent piece of work... is a signpost on a road that is getting more complex and uncontrollable every day." - Paul D. Miller a.k.a. DJ Spooky That Subliminal Kid ----------------------------------------------- Title: March of the Machines - The Breakthrough in AI\\ Author: Warwick, Kevin\\ Year: 2004\\ ISBN: 0-252-07223-5\\ Publisher: University of Illinois Press\\ "An entertraining read, covering a complex subject in detail that should appeal equally to the casual reader and the hardened robophile." - The Guardian "Grippingly horrible .... interesting and thoughtful." - Daily Telegraph "An apocalyptic view of what the future holds for mankind". - Daily Mail While horror films and science fiction have repeatedly warned of robots running amok, Kevin Warwick takes the threats out of the realm of fiction and into the real world, truly giving us something to worry about. Meeting skeptics head on, Warwick goes beyond his penetrating attacks on their assumptions and prejudices about what should be considered as intelligence to reveal what he has already achieved: building robots that communicate in their own language, share experiences, tech each other lessons, and behave as they wish with regard to human beings. Now available for the first time in America, March of the Machines is part history of robotics, part futurism. It surveys the substantial advances made in artificial intelligence over the past century while looking ahead to an increasingly uneasy relationship between humans and machines. KEVIN WARWICK is professor of cybernetics at the University of Reading, UK, having previously held appointments at Oxford, Warwick and Newcastle Universities and Imperial College, London. He is the author of numberous books on a wide variety of subjects including robotics, information technology, biomedicine, and ethics, and is deeply engaged with advances in neural implants. ---------------------------------------------- Title: I, Cyborg\\ Author: Warwick, Kevin\\ Year: 2004\\ ISBN: 0-252-07215-4\\ Publisher: University of Illinois Press\\ "Warwick details his fascinating autobiography in becoming a cybernetic organism .... Using decades of research in artificial intelligence, the author takes readers on a personal journey initially through research on mechanical devices to actual experiences of interfacing with real interfaces and real implants. Warwick skillfully relates the events as he saw them, bringing readers through each step of the technological development and captivating them along the way with the excitement and eetails of each breakthrough. This book is not a fantasy nor science fiction, but a subjective record of actual scientific experiment. An exciting book to read for nonprofessionals and inspiring for professionals. Highly recommended." - Choice Now available for the first time in America, I, Cyborg is the story of Keven Warwick, the cybernetic pioneer advancing science by upgrading his own body. Warwick, the world's leading expert in cybernetics, explains how he has deliberately crossed over a perilous threshold to take the first practical steps toward becoming a cyborg - part human, part machine - using himself as laboratory animal and undergoing surgery to receive technological implants connected to his central nervous system. Believing that machines with intelligence far beyond that of humans will eventually make the important decisions, Warwick investigates whether we can avoid obsolescene by using technology to improve on our comparatively limited capabilities. Warwick also discusses the implications for human relationships and his wife's participation in the experiments. Beyond the autobiography of a scientist who became, in part, a maince, I, Cyborg is also a story of courage, devotion, and endeavor that split apart personal lives. The results of these amazing experiments have far-reaching implications not only for e-medicine, extra-sensory input, incresed memory and knowledge, and even telepathy, but for the future of humanity as well. Kevin Warwick is professor of cybernetics at the University of Reading, UK. He is the author of numerious books on a wide variety of subjects including robotics, information technology, biomedicine, and ethics, and is deeply engaged with advances in neural implants. ---------------------------------------------- Title: Metacreation Art and Artificial Life\\ Author: Whitelaw, Mitchell\\ Year: 2004\\ ISBN: 1-262-(hc:alk.paper)\\ Publisher: The MIT Press\\ Artificial life, or a-life, is an interdisciplinary science focused on artificial systems that mimic the properties of living systems. In the 1990s, new media artists began appropriating and adapting the techniques of a-life science to creat a-life art; Mitchell Whitelaw's METACREATION is the first detailed critical account of this new field of creative practice. A-life art responds to the increasing technologization of living matter by creating works that seem to mutate, evolve, and respond with a life of their own. Pursuing a-life's promise of emergence, these artists produce not only artworks, but generative and creative processes: here creation becomes metacreation. Whitelaw presents a-life art practice through four of its characteristic techniques and tendencies. "Breeders" use artificial evolution to generate images and forms, int he process altering the artist's creative agency. "Cybernatures" form complex. interactive systems, drawing the audience into artificial ecosystems. Other artists work in "Hardware", adapting Rodney Brook's "bottom-up" robotics to create embodied autonomous agencies. The "Abstract Machines" of a-life art de-emphasize the biological analogy, using techniques such as cellular automata to investigate pattern, form and morphogenesis. In the book's concluding chapters Whitelaw surveys the theoretical discourses around a-life art, before finally examining emergence, a concept central to a-life, and key, it is argued, to a-life art. Mitchell Whitelaw is LEcturer in New Media at the School of Creative Communication, University of Canberra. ------------------------------------------ Title: Motivation, Emotion, and Cognition\\ Editors: Yun Dai, David \& Sternberg, Robert J.\\ Year: 2004\\ ISBN: 0-8058-4556-9\\ ISBN: 0-8058-4557-7 (pbk. : paper)\\ Publisher: Lawrence Erlbaum Associates, Publshers - London\\ The central argument of this book is that cognition is not the whole story in understanding intellectual functioning and development. To account for inter-individual, intra-individual, and developmental variability in actual intellectual performance, it is necessary to treat cognition, emotion, and motivation as inextricably related. Motivation, Emotion, and Cognition: Integrative Perspectives on Intellectual Functioning and Development: * Represents a new direction in theory and research on intellectual functioning and development; * Portrays human intelligence as fundamentally constrained by biology and adaptive needs but modulated by social and cultural forces; and * Encompasses and integrates a broad range of scientific findings and advances, from cognitive and affective neurosciences to cultural psychology, addressing fundamental issues of individual differences, developmental variability, and cross-cultural differences with respect to intellectual functioning and development. By presenting current knowledge regarding integrated understanding of intellectual functioning and development, this volume promotes exchanges among researchers concerned with provoking new ideas for research and provides educataors and other practioners with a framework that will enrich understanding and guide practice. YEAR 2003 -------- Title : Principles of Constraint Programming\\ Author : Apt, Krzysztof R.\\ Year : 2003\\ ISBN : 0-521-82583-0\\ Constraints are everywhere: most computational problems can be described in terms of restrictions imposed on the set of possible solutions, and constraint programming is a problem-solving technique that works by incorporating those restrictions in a programming environment. It draws on methods from combinatorial optimization and artificial intelligence, and has been successfully applied in a number of fields from scheduling, computational biology, finance, electrical engineering and operations research through to numerical analysis. The author provides many worked examples that illustrate the usefulness and versatility of this approach to programming, as well as many exercises throughout the book that illustrate techniques, test skills and extend the text. Pointers to current research, extensive historical and bibliographic notes, and a comprehensive list of references will also be valuable to professionals in computer science and artificial intelligence. Krzysztof R. Apt received his PhD in 1974 in mathematical logic from the University of Warsaw in Poland. Over the past thirty years he has held positions in four countries. Currently he is a senior researcher at CWI, Amsterdam and Professor of Computer Science at the University of Amsterdam. He has written two other books, Verification of Sequential and Concurrent Programs (with E,-R. Olderog) and From Logic Programming to Prolog, and more than 40 journal articles and 15 book chapters in a number of areas in computer science. He has also been involved in several initiatives aimed at promoting research on applications of mathematical logic in computer science. In particular, he is the founder and editor-in-chief of the ACM Transactions on Computational Logic, and past president of the Association for Logic Programming. He has lectured in several countries on five continents: his most visiting teaching position is in Singapore. ------------------------------------------------ Title : The Description Logic Handbook - Theory, Implementation & Applications\\ Editors : Baader, F. & Calvanese, D. & McGuinness, D. & Nardi, D. & Patel-S. P.\\ Year : 2003\\ ISBN : 0-521-78176-0\\ Publisher : Cambridge University Press\\ Description Logics are a family of knowledge representation languages that have been studies extensively in Artificial Inelligence over the last two decades. They are embodied in several knowledge-based systems and are used to develop various real-life applications. The Description Logic Handbook provides a thorough account of the subject, covering all aspets of research in this field, namely: theory, implementation, and applications. Its appeal will be broad, ranging from more theoretically oriented readers, to those with more practically oriented interests who need a sound and modern understanding of knowledge representation systems based on Description Logics. The chapters are written by some of the most prominent researchers in the field, introducing the basic technical material before taking the reader to the current sate of the subject, and including comprehensive guides to the literature. In sum, the book will serve as a unique reference for the subject, and can also be used for self-study or in conjunction with knowledge Representation and Artificial Intelligence courses. ------------------------------------------------ Title : From Complexity to Life\\ Author : Gregersen, Niels Henrik\\ Year : 2003\\ ISBN : 0-19-515070-8\\ Publisher : Oxford Uni. Press\\ Is the history of the universe one of slow degeneration toward homodynamics, or is the story of a steady emergence of organized complexity? Is there a ``Fourth Law'' of thermodynamics that is able to explain the condition for the formation of life out of life-less matter? These questions are dealt with from top scientists within the paradigm of Complexity Studies. Physicist Paul Davies outlines the basic ideas of an emergentist worldview; mathematicians Gregory Chaitin and Charles Bennett present their computational definitions of complexity; Stuart Kauffman, Paul Davies, and Ian Stewart seek out the contours of the Fourth Thermodynamical Law; philosopher-mathematician William A. Dembski and biologist werner Loewenstein ask for the origins and propagation of information in nature. This book is unique not only in bringing together in one coherent volume cutting-edge research complexity for the general reader - but also in posing the question of the wider metaphysical implications of complexity. The theoretical biologist Harold Morowitz, the biologist-theologian Arthur Peacocke, and the philosopher-theologian Niels Henrik Gregersen address the thorny questions about the emergence of order and meaning in an otherwise silent universe. Neils Henrik Gregersen is Research Professor of Science and Theology at the University of Aarhus, Denmark. His publications include more than 60 articles in Nordic, German and English anthologies and journals, and three books. "An excellent introduction to the sciences of complexity. The presentation of the science is serious though not impenetrable and well signposted with crisp definitions. As you would expect when the leading representative of `intelligent design' (William Dembski) meets the leading representative of `theistic naturalism' (Arthur Peacodke), the philosophical and theological exchanges are pointed and charged. Still, one has the sense that a new paradigm is taking shape in these pages; the model of nature as comples, open-ended, emergent. When scientists and theologians together dig in their spades in defense of the worldview of emergent complexity, how can it not transform the old warfare between science and religion into a new and revolutionary partnership?" - Philip Clayton, Professor of Philosophy, California State University, and author of God in Contemporary Science -------------------------------------------------------------- Title : Reasoning About Uncertainty\\ Author : Halpern, Joseph Y.\\ Year : 2003\\ ISBN : 0-262-08320-5\\ Publisher : The MIT Press\\ Uncertainty is a fudamental and unavoidable feature of daily life; in order to deal with uncertainty intelligently, we need to be able to represent it and reason about it. In this book Joseph Halpern examines formal ways of representing uncertainty and considers various logics for reasoning about it. While the ideas presented are formalized in terms of definitions and theorems, the emphasis is on the philosophy of representing and reasoning about uncertainty; the material is accessible and relevant to researchers and students in many fields, including computer science, artificial intelligence, economics (particularly game theory), mathematics, philosophy, and statistics. Halpern begins by surveying possible formal systems for representing uncertainty, including probability measures, possibility measures, and plausibility measures. He considers the updating of beliefs based on changing information and the relation to Bayes'theorem; this leads to a discussion of qualitative, quantitative, and plausibilistic Bayesian networks. He considers not only the uncertainty of a single agent but also uncertainty in a multi-agent framework. Halpern then considers the formal logical systems for reasoning about uncertainty. He discusses knowledge and belief; default reasoning and the semantics of default; reasoning about counterfactuals, and combining probability and counterfactuals; belief revision; first-order modal logic; and statistics and beliefs. He includes a series of exercises at the end of each chapter. "Halpern presents a masterful, complete and unified account of the many ways in which the connections between logic, probability theory and commonsensical linguistic terms can be formalized. Terms such as 'true' 'certain' 'plausible,' 'pollible,' 'believed,' 'known', 'default,' 'relevant,' 'independent,' and 'preferred' are given rigorous semantical and syntactical analyses, and their interrelationships explicated and exemplified. An authoritative panoramic reference for philosophers, cognitive scientists and artificial intelligence researchers." - Judea Pearl, Computer Science Department, University of California, Los Angeles "For more than a decade, the study of uncertain reasoning has been graced by the breadth, openness, and agility of Joe Halpern's intellect. More than any of his colleagues, Joe has sought to reconcile and unify the diverse insights and methods for reasoning about knowledge and uncertainty that have been developed and championed and championed in various academic fields. This cheerful, measured, and comprehensive book will bring Joe's tone, as well as his individual contributions, to the forefront of the field. I cannot imagine a better starting place for a student of the subject." - Glenn Shafer, Department of Accounting and information Systems, Rutgers University School of Business "Reasoning about Uncertainty pursues its own unified theoretical perspective in a remarkably systematic way; yet it is also a remarkably rich and complete textbook. It will be a rewarding book to work through for students and researchers alike. - Wolfgang Spohn, Department of Philosophy, University of Konstanz "For some years now I have been testing a hypothesis; if a topic involving probability is of current interest to a philosopher, then Joseph Halpern has proved an important result that is relevant to it. Its accuracy can be gauged by the frequency with which I recommend his papers to colleagues and students. This book, which presents all these valuable contribution in a single volume, provides a rich source of technical and philosophical insight." - Bas C. Van Fraassen, Dept. of Philosophy, Princeton University ------------------------------------------------------------- Title : Taking Action\\ Author : Johnson-Frey, Scott H.\\ Year : 2003\\ ISBN : 0-262-10097-5\\ Publisher : MIT Press\\ Traditionally, neurologists, neuroscientists, and psychologists have viewed brain functions as grossly divisible into three separable components, each responsible for either perceptual, cognitive, or motor systems. The artificial boundaries of this simplification have impeded progress in understanding many phenomena, particularly intentional actions, which involve complex interactions among the three systems. This book presents a diverse range of work on action by cognitive neuroscientists who are thinking across the traditional boundaries. The topics discussed include catching moving targets, the use of tools, the acquisition of new actions, feedforward and feedback mechanisms, the flexible sequencing of individual movements, the coordination of multiple limbs, and the control of actions compromised by disease. The book also presents recent work on relatively unexplored yet fundamental issues such as how the brain formulates intentions to act and how it expresses ideas through manual gestures. -------------------------------------------------------------- Title : Information Theory, Inference, and Learning Algorithms\\ Author : Mackay, David J. C.\\ Year : 2003\\ ISBN : 0 521 64298 1\\ Publisher : Cambridge Uni. Press\\ Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error- correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes-the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay' ground-breaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation on students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning. 'This is an extraordinary and important book,generous with insight and rich with detail in statistics, information theory, and probabilistic modeling across a wide swathe of standard, creatively original, and delightfully quirky topics. David MacKay is an uncompromisingly lucid thinker, from whom students, faculty and practitioners all can learn.' Peter Dayan and Zoubin Ghahramani, Gatsby Computational Neuroscience Unit, University College, London 'An utterly original book that shows the connections between such disparate fields as information theory and coding, inference, and statistical physics.' Dave Forney, Massachusetts Institute of Technology 'An instant classic, covering everything from Shannon's fundamental theorems to the postmodern theory of LDPC codes. You'll want two copies of this astonishing book, one for the office and one for the fireside at home.' Bob McEliece, California Institute of Technology ------------------------------------------------------------------------ Title : Inventing the Organizations of the 21st Century\\ Author : Malone, T. W., Laubacher, R. \& Xcott Morton M. S.\\ Year : 2003\\ ISBN : 0-262-13431-4\\ Publisher : The MIT Press\\ Technological changes have displaced the hierarchical corporation as the model for business organization; the large corporations of the new century are decentralizing and externalizing, creating networks of ``industry ecosystems'' that will replace the top-down organizations of the last century. Inventing the Organizations of the 21'' Century reports on a five-year multidisciplinary research initiative conducted by MIT's Sloan School of Management and sponsored by leading international corporations. The goal of the initiative was not only to understand the way we work now but to invent new ways of working and put them into practice. The twenty articles in the book are organized to answer three questions. The first part, ``What is changing?'' examines the reasons for change and the results of change. The second part, ``What can you do about it?'' considers the new business strategies and organizations that technology and competition demand. The third part, ``What do you want in the first place?'' examines the goals that animate the initiative, which go beyond pure profit to reflect the human values we want the organizations of the twenty-first century to serve. Thomas W. Malone is Patrick J. McGovern Professor of Information Systems at the MIT Sloan School of Management. He is an editor of Organizing Business Knowledge: The MIT Process Handbook (MIT Press, 2003). Robert Laubacher is Research Associate at the Sloan School. Michael S. Scott Morton is Jay W. Forrester Professor of Management Emeritus at the Sloan School. Thomas Malone and Michael Scott Morton were the two codirectors of the MIT initiative described in this volume. "A tectonic plate shift is under way in the world of organizations. The modern corporation as we have known it for the last hundred years or more is being redefined, reconfigured, and disaggregated. In the long term, this will have profound implications for many of us whose lives are somehow interdependent with firms. While the full details of the implications of the changed landscape will emerge in time, the Malone, Laubacher, and Scott Morton-edited book - a series of twenty chapters written mainly by a group of MIT faculty members - is quite possibly the best and most comprehensive early look at this changing nature of the modern corporation and related issues". - Jitendra V. Singh, Saul P. Steinberg Professor of Management, The Wharton School, University of Pennsylvania "Occasionally in the history of ideas there is a convergence around a radical and challenging agenda. Inventing the Organizations of the 212st Century is no mere compendium of occassional publications, but rather the exciting demonstration of just such a confluence: an extraordinary range of disciplines, unified by a common perspective that may come to define the 'MIT School," - Philip Evans, Senior Vice President, The Boston Consulting Group "Overall, the book is a remarkable contribution of innovative thoughts and deep scholarly research." - Peter Schwartz, Chairman, Global Business Network --------------------------------------------------------------------- Title : Organizing Business Knowledge - The MIT Process Handbook\\ Author: Malone, T. W., Crowston, K. \& Herman, G.A.\\ Year: 2003\\ ISBN: 0-262-13429-2\\ Publisher: The MIT Press\\ Organizing Business Knowledge: The MIT Process Handbook presents the key findings of a multidisciplinary research group at MIT's Sloan School of Management that has worked for over a decade to lay the foundation for a systematic and powerful method of organizing and sharing business knowledge. The book does so by focusing on the process itself. It proposes a set of fundamental concepts to guide analysis and a classification framework for organizing business knowledge, and describes the publicly available online knowledge base developed by the project. This knowledge base includes a set of representative templates, specific case examples, and a set of software tools for organizing and sharing knowledge. The twenty-one papers gathered int he book form a comprehensive and coherent vision of the future of knowledge organization. The book is organized into five parts that contain an introduction overview of this decade-long project, the presentation of a theory of process representation, examples from both research and practice, and a report on the progress so far and the challenges ahead. Thomas W. Malone is Patrick J. McGovern Professor of Information System and Director of the Center for Coordination Science at The MIT Sloan School of Management. Kevin Crowson is Associate Professor of Information Studies at Syracuse University School of Information Studies. George A. Herman is on the research staff at the Center for Coordination Science, and Managing Editor of the Process Handbook. --------------------------------------------------------------------- Titel : Molecular Computing\\ Editors : Sienko, T. Adamatzky, A., Rambidi, N. G. \& Conrad, M.\\ Year : 2003\\ ISBN : 0-262-1948-2\\ Publisher : The MIT Press\\ The next great change in computer science and information technology will come from mimicking the techniques by which biological organisms process information. To do this computer scientists must draw on expertise in subjects not usually associated with their field, including organic chemistry, molecular biology, bioengineering, and smart materials. This book provides an introduction to the interdisciplinary field of molecular computing. The book moves from abstract principles of molecular computing to the building of actual systems. The topics include the use of proteins and other molecules for information processing, molecular recognition, computation in nonlinear media, computers based on physical reaction-diffusion systems found in chemical media, DNA computing, bioelectronics and protein-based optical computing, and biosensors. Tanya Sienko is Chief Operating Officer of Paranoid Capital Management LLC. Andrew Adamatzky is Senior Research Fellow in the Faculty of Computing. Engineering, and Mathematical Sciences at the University of the West of England, Bristol. Nicholas G. Rambidi is Professor of Physics at Moscow State University. The late Michael Conrad was Professor of Computer Science at Wayne State University. Contributors: Andrew Adamatzky; Robert R. Birge; Michael Conrad; Isao Karube; Jean-Marie Lehn; Carlo C. Maley; Duane L. Marcy; Nicholas G. Rambidi; Satoshi Sasaki; Tanya Sienko; Bryan W. Vought; Klaus-Peter Zauner. -------------------------------------------------------------------- Title : Seeing and Visualizing\\ Author : Pylyshyn, Zenon W.\\ Year : 2003\\ ISBN : 0-262-16217-2\\ Publisher : The MIT Press\\ In Seeing and Visualizing Zenon Pylyshyn argues that seeing is different from thinking and that to see is not, as it may seem intuitively, to create an inner replica of the world. Pylyshyn examines how we see and how we visualize and why the scientific account does not align with the way these processes seem to us "from the inside," In doing so, he addresses issues in vision science, cognitive psychology, philosophy of mind, and cognitive neuroscience. First, Pylyshyn argues that there is a core stage of vision independent from the influence of our prior beliefs, and he examines how vision can be intelligent and yet essentially knowledge-free. He then proposes that a mechanism within the vision module, called a visual index (or FINST), provides a direct preconceptual connection between parts of visual representations and things in the world, and he presents various experiments that illustrate the operation of this mechanism. He argues that such a deictic reference mechanism is needed to account for many properties of vision, including how mental images attain their apparent spatial character without themselves being laid out in space in our brains. The final section of the book examines the "picture theory" of mental imagery, includng recent neuroscientific evidence, and asks whether any current evidence speaks to the issue of the format of mental images. This analysis of mental imagery brings together many of the themes raised throughout the book and provides a framework for considering such issues as the distinction between the form and the content of reresentations, the role of vision in thought, and the relation between behavioral, neuroscientific, and phenmenological evidence regarding mental representations. Zenon W. Pylyshyn is Board of Governors Professor of Cognitive Science and Founding Director of the Center for Cognitive Science at Rutgers University. ---------------------------------------------------------------------- Title : Computational Developmental Psychology\\ Author : Shultz, Thomas R.\\ Year : 2003\\ ISBN : 0-262-19483\\ Publisher : The MIT Press\\ "A manifesto for a more scientific approach to cognitive development in which the focus is firmly on the mechanisms of charge. Packed with detailed examples, this book is essential reading for advanced students and researchers in cognitive development and will be of interest to cognitive scientists more generally." - Mark H. Johnson, Director, Centre for Brain and Cognitive Development University of London "This book - by one of the founders of the field of computational developmental psychology - provides a comprehensive and thorough overview of the field, as well as an articulate and persuasive statement of Shultz's own approach. Both beginning students and advanced researchers will find it stimulating, informative, and thought-provoking." - Jeff Elman, Professor of Cognitive Science, University of California, San Diego "In the past, the few connectionist models of child development have focused heavily on language development. What makes Tom Shultz's book unique is the wide range of child development topics it covers, in addition to language development. The book takes us from a primer on connectionism to a chapter devoted to future directions of connectionist modeling in child development. Since the connectionist approach is only beginning to make significant inroads in the field, Shultz has included a chapter specifically devoted to the application of its principles to modeling child development. This book is an essential contribution to the field." - Robert M. French, Quantitative Psychology and Cognitive Science, Univeristy of Liege, Belgium ---------------------------------------------------------------------- Title : Satisficing Games and Decision Making\\ Author : Stirling, Wynn C.\\ Year : 2003\\ ISBN : 0-521-81724 2\\ Publisher : Cambridge Uni. Press\\ In our day-to-day-lives we constantly make decisions that are simply "good enough" rather than optimal. This may be to save time and trouble, or, for example, to avoid conflict with colleagues. Most computer-based decision-making algorithms, on the other hand, doggedly seek the optimal solution based on rigid criteria and reject any others. In this book, Professor Wynn Stirling outlines an alternative approach, using novel algorithms and techniques to model more closely the way humans make decisions. Building on traditional decision and game theory, these techniques allow decision-making systems to cope with more subtle situations where self and group interest conflict, perfect solutions can't be found, and human issues need to be taken into account - in short, more closely modeling the way humans make decisions. The book will therefore be of great interest to engineers, computer scientists, and mathemeticians working on artificial intelligence and expert systems. ------------------------------------------------------------ Title : Eighth Scandinavian Conference on Artificial Intelligence\\ Editors : Tessem, B., Ala-Siuru, Pl, Doherty, P. \& Mayoh, B.\\ Year : 2003\\ ISBN : 1 58603 390 5 (IOS Press)\\ ISBN : 4 274 90629 9 C3055 (Ohmsha)\\ ISBN : 0922-6389\\ Publisher : IOS press\\ ------------------------------------------------------------ Title : Psychomythics\\ Author : Uttal, William R.\\ Year : 2003\\ ISBN : 0-8058-4584-4\\ Publisher : Lawrence Erlbaum Associates\\ This book continues William Uttal's examination of the fundamental assumptions of scientific psychology, in particular, those that produce theoretical and conceptual errors. It considers the sources of misconceptions in psychological theories that arise from confusing endogenous and exogenous causal forces in perceptual research, from misinterpreting the effects of inevitable natural laws as psychological phenomena, from improper application of statistics and measurement, and from flawed assumptions. The book concludes that a return to a revitalized behaviorism is more promising than continuing on the current path of cognitive mentalism. William R. Uttal is Professor Emeritus of Psychology at the University of Michigan and Professor Emeritus of Engineering at Arizona Stata University. This is his 20th book on various topics in scientific psychology. ------------------------------------------------------------ Title : Applying Knowledge Management - Techniques for Building Corporate memories\\ Author : Watson, Ian\\ Year : 2003\\ ISBN : 1-55860-760-9\\ Publisher : Morgan Kaufmann Publishers\\ Applying Knowledge Management: Techniques for Building Corporate Memories is very readable and follows a logical order, sticking to the facts without burdening the reader with a lot of irrelevant details. Most existing texts on artificial intelligence applications or knowledge management tend to deal with isolated examples of CBR applications. In contrast, this text has the virtue of dealing with CBR exclusively, and in doing so shows a diversity of problems addressable by the CBR approach. This book will really be read, and not just consigned to some dusty shelf after reading the first few pages. RICK MAGALDI - Senior Technical Consultant (Artificial Intelligence), British Airways This book is written in a clear and friendly style that presupposes no specialized technical knowledge. It is full of practical wisdom about what works, why it works, how to make it work, and what it looks like when it works. This would be a great book to give to every member of a knowledge-system development team. ALEXANDER P. MORGAN - Principal Research Scientist, General Motors The wholesale capture and distribution of knowledge over the last thirty year has created an unprecedented need for organizations to manage their knowledge assets. Knowledge management (KM) addresses this need by helping an organization to leverage its information resources and knowledge assets by ``remembering'' and applying its experience. KM involves the acquisition, storage, retrieval, application, generation, and review of the knowledge assets of an organization in a controlled way. Today, organizations are applying KM throughout their systems, from information management to marketing to human resources. Applying Knowledge Management: Techniques for Building Corporate Memories examines why case-based reasoning (CBR) is so well suited for KM. CBR can be used to adapt solutions originally designed to solve problems in the past in order to address new problems faced by the organization. Through the presentation of several in-depth case studies, this book clearly demonstrates how CBR can be successfully applied to KM problems. Ian Watson, a well-known researcher in case-based reasoning and author of the introductory book Applying CBR: Techniques for Enterprise Systems, has written this book specifically for IT managers and knowledge management system developers. FEATURES * Provides seven real-world applications of knowledge management systems that use case-based reasoning techniques. * Highlights working applications from National Semiconductor, General Electric, Kaye (Presteigne) Ltd, Burdon & Miles Ltd, Morris Ashby Casting, Deloitte Touche Tohmatsu, Analog Devices, and Western Air. * Presents the technical information needed to implement a knowledge management system. * Offers insights into the development of commercial KM CBR applications. * Includes information on CBR software vendors, CBR consultants, and value-added resellers. -------------------------------------------------------------- YEAR - 2002 ----------- Title: Neurotechnology - For Biomimetic Robots\\ Editors: Ayers, J., Davis, J. L. \& Rudolph, A.\\ Year: 2002\\ ISBN: 0-262-01193-X\\ Publisher: The MIT Press\\ The goal of neurotechnology is to confer the performance advantages of animal system on robotic machines. Biomimetic robots differ from traditional robots in that they are agile, relatively cheap, and able to deal with real0world environments. The engineering of these robots requires a thorough understanding of the biological systems on which they are based, at both the biomechanical and physiological levels. This book provides an in-depth overview of the field. The areas covered include myomorphic actuators, which mimic muscle action; neuromorphic sensors, which, like animal sensors, represent sensory modalities such as light, pressure, and motion in a labeled-line code; biomimetic controllers, based on the relatively simple control systems of invertebrate animals; and the autonomous behaviors that are based on an animal's selection of behaviors from a species-specific behavioral "library". The ultimate goal is to develop a truly autonomous robot, one able to navigate and interact with its environment solely on the basis of sensory feedback without prompting from a human operator. Joseph Ayers is Director of the Marine Science Center and Associate Professor of Biology at Northeastern University. Joel L. Davis is Program Officer, Cognitive, Neural, and Biomolecular Science and Technology Division. Office of Naval Research. Alan Rudolph is Program Manager in the Defense Sciences Office at DARPA, the Defense Advanced Research Projects Agency. ------------------------------------------------------------ Title: Designing Sociable Robots\\ Author: Breazeal, Cynthia L.\\ Year: 2002\\ ISBN: 0-262-02510-8\\ Puhlisher: The MIT Press\\ Cynthia Breazeal here presents her vision of the sociable robot of the future, a synthetic creature and not merely a sophisticated tool. A sociable robot will be able to understand us, to communicate and interact with us, and to learn and grow with us. It will be socially intelligent in a humanlike way. Eventually sociable robots will assist us in our daily lives, as collaborators and companions. Because the most successful sociable robots will share our social characteristics, the effort to make sociable robots is also a means for exploring human social intelligence - and even what it means to be human. Breazeal defines the key components of social intelligence for these machines and offers a framework and set of design issues for their realization. Much of the book focuses on a nascent sociable robot she designed named Kismet. Breazeal offers a concrete implementation for Kismet, incorporating insights from the scientific study of animals and people, as well as from artistic disciplines such as classical animation. This blending of science, engineering, and art creates a lifelike quality that encourages people to treat Kismet as a social creature rather than just a machine. The book includes a CD-ROM that shows Kismet in action. Cynthia L. Breazeal is Assistant Professor of Media Arts and Sciences at the MIT Media Lab. ------------------------------------------------------------ Title: An Interaction: Creativity, Cognition, and Knowledge\\ Editor: Dartnall, Terry\\ Year: 2002\\ ISBN: 0-275-97680-7\\ 0-275-97681-5 (pbk.)\\ Publisher: Praeger\\ This collection of essays written by leading figures in cognitive science including their lively debates with Dartnall about his call for a new epistemology, an alternative to the standard representational story in cognitive science. Dartnall aims to show that new epistemology is already with us in some leading-edge models of human creativity. Such an epistemology steers a middle road between the representationism of classical cognitive science and a radical anti-representationism that denies the existence or importance of representations. Dartnall, who debates conributors at each chapter's end, believes that creativity inheres - not only in "big ticket" items such as plays, poems, or sonatas - but in our ability to produce cognitive content at all, so that representations are the "creative products" of our knowledge, rather than its passive carriers. ------------------------------------------------------------ Title: Imitation in Animals and Artifacts\\ Editors: Dautenhahn, K. & Nehaniv, C. L.\\ Year: 2000\\ ISBN: 0-262-04203-7\\ Publisher: The MIT Press\\ The effort to explain the imitative abilities of humans and other animals draws on fields as diverse as animal behavior, artificial intelligence, computer science, comparative psychology, neuro-science , primatology, and linguistics. This volume represents a first step toward integrating research from those studying imitation in humans and other animals, and those studying imitation through the construction of computer software and robots. Imitation is of particular importance in enabling robotic or software agents to share skills without the intervention of a programmer and in the more general context of interaction and collaboration between software agents and humans. Imitation provides a way for the agent - whether biological or artificial - to establish a ``social relationship'' and learn about the demonstrator's actions, in order to include them in its own behavioral repertoire. Building robots and software agents that can imitate other artificial or human agents in an appropriate way involves complex problems of perception, experience, context, and action, solved in nature in various ways by animals that imitate. Kerstin Dautenhahn is Reader in Artificial Intelligence at the University of Hertfordshire in England, where she directs the Robotics and Interactive Systems Laboratory. She is also Associate Editor of the journal {\em Adaptive Behavior}. Chrystopher L. Nehaniv is Professor of Mathematical and Evolutionary Computer Sciences at the University of Hertfordshire. He is Associate Editor of the journal {\em Biosystems} and Director of the UK Engineering and Physical Science Research Council Network on Evolvability in Biological and Software Systems. Dautenhahn and Nehaniv are co-organizers of the University of Hertfordshire's Adaptive Systems Research Group. ------------------------------------------------------------ Title: Animals to Animats 7\\ Editors: Hallam, B., Floreano, D., Hallam, J., Hayes, G., & Meyer, J-A \\ Year: 2002\\ ISBN: 0-262-58217-1\\ Publisher: The MIT Press\\ Proceedings of the Seventh International Conference on Simulation of Adaptive Behavior edited Bridget Hallam, Dario Floreano, John Hallam, Gillian Hayes, and Jean-Arcady Meyer. The Simulation of Adaptive Behavior Conference brings together researchers from ethology, psychology, ecology, artificial intelligence, artificial life, robotics, computer science, engineering, and related fields to further understanding of the behaviors and underlying mechanisms that allow adaptation and survival in uncertain environments. The work presented focuses on robotic and computational experimentation with well-defined models that help to characterize and compare various organizational principles or architectures underlying adaptive behavior in both natural animals and synthetic animats. Bridge Hallam is Guest Researcher at the University of Southern Denmark. Dario Floreano is Professor of Evolutionary and Adaptive Systems at the Swiss Federal Institute of Techology. John Hallam and Gillian Hayes are Senior Lecturers in the Institute of Perception, Action and Behavior at the University of Edinburgh. Hallam is also Guest Professor at the University of Southern Denmark. Jean-Arcady Meyer is Director of the AnimatLab at the Laboratoire d'Informatique de Paris 6. -------------------------------------------------------------- Title: Our Molecular Future\\ Author: Mulhall, Douglas\\ Year: 2002\\ ISBN: 1-57392-992-1\\ Publisher: Prometheus Books\\ What Alvin Toffler's Future Shock was to the twentieth century, Our Molecular Future may be to the twenty-first. * What will happen to our jobs, health care, and investments when the molecular revolution hits? * How might artificial intelligence transform our lives? * How can molecular technology help us cope with climate changes, earthquakes, and other extreme natural threats? Our Molecular Future explores some intriguing possibilities and multifaceted answers for these questions and many others. Highlighting a present surge in molecular discoveries, Douglas Mulhall describes the exponential changes that may be wrought by the nanotechnology and robotic revolutions, which promise to reduce the scale of computing to the nanometer - a billionth of a meter - while increasing computing power to almost unimaginable levels. The resulting convergence of genetics, robotics, and artificial intelligence may give us hitherto undreamed-of capacities to transform our environment and ourselves. In the not-so-distant future, our world may include machines that scour our arteries to prevent heart disease, cars and clothes that change color at our whim, exotic products built in our own desktop factories, and enhancements to our personal financial security despite greatly accelerated obsolescence. But paradoxically, none of this may occur. While technology is making these leaps, we may also encounter surprises that throw us into disarry: climate changes, earthquakes, or even a seemingly improbable asteroid collision. These extremes are not the nightmare scenarios of sensationalists, Mulhall stresses, nor are many of them human induced. Instead, they may be part of nature's routine, which we're just beginning to discover. The good news is that this impending molecular transformation may help us adapt to such disruptions. If we're smart, according to Mulhall, we can use molecular machines to protect ourselves from nature's worst extremes, and harness their potential benefits to usher in an economic renaissance. This visionary link between future technology and past disasters is a valuable guide for every one of us who wants to be prepared for the twenty-first century. Douglas Mulhall is a sustainable development specialist and technology journalist. He has managed scientific institutes that pioneered adaptive technologies such as water recycling and flood prevention, in collaboration with governments, research laboratories, and multinational companies. He has contributed to professional journals, magazines, and books, including the Futurist and Financial Times publications. For more information and updates, see www.ourmolecularfuture.com. ----------------------------------------------------------- Title: Cognitive Modeling\\ Editors: Polk, T. A. & Seifert, C. M.\\ Year: 2002\\ ISBN: 0-262-16198-2\\ Publisher: The MIT Press\\ Computational modeling plays a central role in cognitive science. This book provides a comprehensive introduction to computational models of human cognition. It covers major approaches and architectures, both neutral network and symbolic; major theoretical issues; and specific computational models of a variety of cognitive processes, ranging from low-level (e.g., attention and memory) to higher-level (e.g., language and reasoning). The articles included in the book provide original descriptions of developments in the field. The emphasis is on implemented computational models rather than on mathematical or nonformal approaches, and on modeling empirical data from human subjects. Thad A. Polk is Assistant Professor and Colleen M. Seifert is Associate Professor, both in the Department of Psychology at the University of Michigan. ``During the past decade cognitive models have proved essential for understanding human learning, problem solving, decision making, and supervisory control. This book will enable a new generation of researchers to confront underlying scientific issues while focusing on the impressive recent achievements of cognitive modeling.'' Michael G. Shafto, Computational Sciences Division, NASA Ames esearch Center ``A remarkably comprehensive sampling of recent work in cognitive modeling that would be a great resource for a course on the topic.'' Susan F. Chipman, Manager, Cognitive Science Program, Office of Naval Research -------------------------------------------------------------- Title: A New Kind of Science\\ Author: Wolfram, Stephen\\ Year: 2002\\ ISBN: 57955-008-8\\ Publisher: Wolfram Media, Inc.\\ This long-awaited work from one of the world's most respected scientists presents a series of dramatic discoveries never before made public. Starting from a collection of simple computer experiments - illustrated in the book by striking computer graphics - Stephen Wolfram shows how their unexpected results force a whole new way of looking at the operation of our universe. Wolfram uses his approach to tackle a remarkable array of fundamental problems in science, from the origins of apparent randomness in physical systems, to the development of complexity in biology, the ultimate scope and limitations of mathematics, the possibility of a truly fundamental theory of physics, the interplay between free will and determinism, and the character of intelligence in the universe. Written with exceptional clarity, and illustrated by nearly a thousand original pictures, this seminal book allows scientists and non-scientists alike to participate in what promises to be a major intellectual revolution. Stephen Wolfram was born in London and educated at Eton, Oxford, and Caltech. He received his Ph.D. in theoretical physics in 1979 at the age of 20, having already made lasting contributions to particle physics and cosmology. In 1981 his work was recognized by a MacArthur award. In the early 1980s he made a series of classic discoveries about systems known as cellular automata, which have yielded many new insights in physics, mathematics, computer science, biology and other fields. In 1986 he founded Wolfram Research, Inc. and began the creation of Mathematica, now the world's leading software system for technical computing and symbolic programming, and the tool that made A New Kind of Science possible. Over the past decade Wolfram has divided his time between the leadership of his company and his pursuit of basic science. --------------------------------------------------------- Title: Probabilistic Reasoning in Multiagent Systems\\ - A graphical models approach\\ Author: Xiang, Yang\\ Year : 2002\\ ISBN : 0-521-81308-5\\ Publisher: Cambridge University Press\\ This book investigates the opportunities in building intelligent decision support systems offered by multiagent distributed probabilistic reasoning. Probabilistic reasoning with graphical models, also known as Bayesian networks or belief networks, has become an active field of research and practice in artificial intelligence, operations research, and statistics in the past two decades. The success of this technique in modeling intelligent decision support systems under the centralized and single-agent paradigm has been striking. In this book, the author extends graphical dependence models to the distributed and multiagent paradigm. He identifies the major technical challenges involved in such an endeavor and presents the results from a decade's research. The framework developed in the book allows distributed representation of uncertain knowledge on a large and complex environment embedded in multiple cooperative agents and effective, exact, and distributed probabilistic inference. Yang Xiang is Associate Professor of Computing and Information Science at the University of Guelph, Canada, where he directs the Intelligent Decision Support System Laboratory. He received his Ph.D. from the University of British Columbia and developed the Java-based toolkit WebWeavr, which has been distributed to registered users in more than 20 countries. He also serves as Principal Investigator in the Institute of Robotics and Intelligent Systems (IRIS), Canada. ----------------------------------------------------------------- YEAR - 2001 ----------- Author: Baldi, P. & Brunak, S. Title: Bioinformatics - The Machine Learning Approach Publisher: The MIT Press Year: 2001 ISBN: 0-262-02506 -------------------------------- Author: Dourish, Paul Title: Where the Action Is Publisher: The MIT Press Year: 2001 ISBN: 0-262-04196-0 --------------------------------- Editor: Dybowski, Richard & Gant, Vanya Title: Clinical Applications of Artificial Neural Networks Publisher: Cambridge Uni. Press Year: 2001 ISBN: 0-521-66271-0 -------------------------------- Author: Gentner, D., Holyoak, K. J. & Kokinov, B. N. Title: The Analogical Mind Publisher: The MIT Press Year: 2001 ISBN: 0-262-07206-8 ----------------------------------------- Author: Hand, D., Mannila, H. & Smyth, P. Title: Principles of Data Mining Publisher: The MIT Press Year: 2001 ISBN: 0-262-08290-X ---------------------------------------- Author: Jacob, Christian Title: Illustrating Evolutionary Computation with Mathematica Publisher: Morgan Kaufmann Publishers Year: 2001 ISBN: 1-55860-637-8 ----------------------------------------- Author: Jacquemin, Christian Title: Spotting and Discovering Terms through Natural Language Processing Publisher: The MIT Press Year: 2001 ISBN: 0-262-10085-1 ------------------------------------------ Author: Keeman, Vojislav Title: Learning & Soft Computing Publisher: The MIT Press Year: 2001 ISBN: 0-262-11255-8 ----------------------------------------- Author: Kraus, Sarit Title: Strategic Negotiation in Multiagent Environments Publisher: The MIT Press Year: 2001 ISBN: 0-262-11264-7 ---------------------------------------- Author: Magnani, Lorenzo Title: Abduction, Reason, and Science - Processes of Discovery & Explanation Publisher: Kluwer Academic/Plenum Pub. Year: 2001 ISBN: 0-306-46514-0 ----------------------------------------- Author: Mason, Matthew T. Title: Mechanics of Robotic Manipulation Publisher: The MIT Press Year: 2001 ISBN: 0-262-13396-2 --------------------------------------- Author: Melamed, I. Dan Title: Empirical Methods for Exploiting Parallel Texts Publisher: The MIT Press Year: 2001 ISBN: 0-262-13380-6 ----------------------------------------- Author: Opper, Manfred & Saad, David Title: Advanced Mean Field Methods - Theory & Practice Publisher: The MIT Press Year: 2001 ISBN: 0-262-15054-9 ----------------------------------------- Author: Parsons, Simon Title: Qualitative Methods for Reasoning Under Uncertainty Publisher: The MIT Press Year: 2001 ISBN: 0-262-16168-0 --------------------------------------- Editor: Patel, M. Honavar, V. & Balakrishnan, K. Title: Advances in the Evolutionary Synthesis of Intelligent Agents Publisher: The MIT Press Year: 2001 ISBN; 0-262-16201-6 ----------------------------------------- Author: Reiter, Raymond Title: Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems Publisher: The MIT Press Year: 2001 ISBN: 0-262-18218-1 ------------------------------------------ Editors: Robinson, A. & Voronkov, A. Title: Handbook of Automated Reasoning - Vol. I Publishers: Elsevier / The MIT Press Year: 2001 ISBN: 0-444-82949 (Vol. 1) ------------------------------------------- Editors: Robinson, A. & Voronkov, A. Title: Handbook of Automated Reasoning - Vol. II Publishers: Elsevier / The MIT Press Year: 2001 ISBN: 0-444-50812-0 (Vol. II) --------------------------------------------- Author: Uttal, William R. Title: The New Phrenology Publisher: The MIT Press Year: 2001 ISBN: 0-262-21017-7 ----------------------------------------- Editors: Webb, Barbara & Consi Thomas R. Title: Biorobotics - Methods & Applications Publisher: AAAI Press/ The MIT Press Year: 2001 ISBN: 0-262-73141-X ------------------------------------------ YEAR - 2000 ----------- Author: Brands, Stefan A. Title: Rethinking Public Key Infrastructures & Digital Certificates Building in Privacy Publisher: The MIT Press Year: 2000 ISBN: 0-262-02491-8 ----------------------------------------- Author: Calvin, William H. & Bickerton, D. Title: Lingua ex Machina Publisher: The MIT Press Year: 2000 ISBN: 0-262-03273 -------------------------------------- Author: Cartwright, Hugh Title: Intelligent Data Analysis in Science Publisher: Oxford University Press Year: 2000 ISBN: 0 19 850233 8 ----------------------------------- Editor: Cassell, J., Sullivan, J., Prevost, S. & Churchill, E. Title: Embodied Conversational Agents Publisher: The MIT Press Year: 2000 ISBN: 0-262-03278-3 ------------------------------------- Author: Chierchia, G. & McConnell-Ginet, S. Title: Meaning and Grammar Publisher: The MIT Press Year: 2000 ISBN: 0-262-03269-4 ------------------------------------ Editors: Cloete, I & Zurada, J. M. Title: Knowledge-Based Neurocomputing Publisher: The MIT Press Year: 2000 ISBN: 0-262-03274-0 ------------------------------------ Author: Fodor, Jerry Title: the mind doesn't work that way Publisher: The MIT Press Year: 2000 ISBN: 0-262-06212-7 --------------------------------------- Author: Fox, J. & Das, S. Title: Safe and Sound Publisher: AAAI Press/ The MIT Press Year: 2000 ISBN: 0-262-06211-9 ------------------------------------------- Author: Gardenfors, Peter Title: Conceptual Spaces - The Geometry of Thought Publisher: The MIT Press Year: 2000 ISBN: 0-262-07199-1 ------------------------------------- Editors: Iwanska, L. M. & Shapiro, S. C. Title: Natural Language Processing & Knowledge Representation Publisher: AAAI Press / The MIT Press Year: 2000 ISBN: 0-262-59021-2 --------------------------------------------- Author: Kargupta, H. & Chan, P. Title: Advances in Distributed and Parallel Knowledge Discovery Publisher: The MIT Press Year: 2000 ISBN: 0-262-61155-4 ------------------------------------------ Author: Levesque, H. J. & Lakemeyer, G. Title: The Logic of Knowledge Bases Publisher: The MIT Press Year: 2000 ISBN: 0-262-12232-4 ----------------------------------------- Author: Levinson, Stephen C. Title: Presumptive meanings - The Theory of Generalized Conversational Implicature Publisher: The MIT Press Year: 2000 ISBN: 0-262-12218-9 ------------------------------- Author: Marcu, Daniel Title: The Theory and Pract. of Disc. Parsing and Summarization Publisher: Year: 2000 ISBN: 0-262-13372-5 -------------------------------------- Editors: Meyer, J-A., Berthoz, A., et. el Title: From Animals to Animats 6 (Proc. of 6th Intl. Conf. on Simulation of Adaptive Behavior Publisher: The MIT Press Year: 2000 ISBN: 0-262-63200-4 --------------------------------------- Author: Murphy, Robin R. Title: Introduction to AI Robotics Publisher: The MIT Press Year: 2000 ISBN: 0-262-13383-0 ------------------------------------ Author: Nolfi, S. & Floreano, D. Title: Evolutionary Robotics Publisher: The MIT Press Year: 2000 ISBN: 0-262-14070-5 ------------------------------------------ Author: Schreiber, G., Akkermans, H., Anjewierden, A. de Hoog, R., Shadbolt, N. & Van de Velde, W. & Wielinga, B. Title: Knowledge Engineering & Management Publisher: The MIT Press Year: 2000 ISBN: 0-262-19300 --------------------------------- Author: Smola, A., Bartlett, P. L. et al Title: Advances In Large Margin Classifiers Publisher: The MIT Press Year: 2000 ISBN: 0-262-19448-1 --------------------------------------------- Author: Sowa, John F. Title: Knowledge Representation Publisher: Brooks/Cole Year: 2000 ISBN: 0-534-94965-7 ---------------------------- Author: Spirtes, P. Glymour, C. & Scheines, R. Title: Causation, Prediction, and Search (2nd edition) Publisher: The MIT Press ISBN: 0-262-19440-6 ---------------------------------------------- Author: Stone, Peter Title: Layered Learning in Multiagent Systems Publisher: The MIT Press Year: 2000 ISBN: 0-262-19438-4 ---------------------------- Author: Subrahmanian, V.S., Bonatti, P. et al Title: Heterogeneous Agent Systems Publisher: The MIT Press ISBN: 0-262-19436-8 --------------------------------------------- Author: Talmy, Leonard Title: Toward a Cognitive Semantics (Vol. 1-Concept Struct.System) Year: 2000 ISBN: 0-262-20120-8 ----------------------------------------- Compiler: Wagman, Morton Title: Historical Dictionary of Quotations in Cognitive Science Publisher: Greenwood Press Year: 2000 ISBN: 0-313-31284-2 ------------------------------------------- Author: Wagman, Morton Title: Scientific Discovery Processes in Humans & Computers Publisher: Greenwood Publishing Group Year: 2000 ISBN: 0-275-96654-2 ------------------------------------------- Author: Wooldridge, Michael Title: Reasoning About Rational Agents Publisher: The MIT Press Year: 2000 ISBN: 0-262-23213-8 -------------------------------------