Ugur Kuter's Publications

  1. U. Kuter, D. Nau, and E. Reisner. 2008. Using Classical Planners To Solve Nondeterministic Planning Problems. Proceedings of ICAPS-08. [to appear]

  2. A. Gerevini, U. Kuter, D. Nau, A. Saetti, N. Waisbrot. 2008. Combining Domain-Independent Planning and HTN Planning: The Duet Planner. Proceedings of ECAI-08. [to appear]

  3. J. Golbeck and U. Kuter. 2008. The Ripple Effect: Change in Trust and Its Impact over a Social Network. In Computing with Social Trust. J. Golbeck (ed.). Springer. [to appear]

  4. C. Hogg, H. Munoz-Avila, and U. Kuter. 2008. HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required. Proceedings of AAAI-08. [to appear]

  5. U. Kuter, D. Nau, M. Pistore, and P. Traverso. 2008. Task Decomposition on Abstract States for Planning under Nondeterminism. Artificial Intelligence. Special issue on Advances in Automated Planning. [to appear]

  6. N. Lin, U. Kuter, and E. Sirin. 2008. Service Composition with User Preferences. Proceedings of ESWC-08. [to appear]

  7. U. Kuter. 2008. Automated Planning and Learning: The Fellowship for Effective Intelligent Systems. Technical Report. UMIACS-TR-2008-05 (CS-TR-4907). Institute of Advanced Computer Studies, University of Maryland, College Park. [pdf]

  8. N. Waisbrot, U. Kuter, and T. Konik. 2008. Combining Heuristic Search with Hierarchical Task-Network Planning: A Preliminary Report (Poster Paper). Proceedings of FLAIRS-08. [to appear]

  9. U. Kuter. 2007. Notes on the ICAPS-07 Workshop on AI Planning and Learning. The Reasoner. October Issue, 2007.

  10. U. Kuter, D. Nau, E. Reisner, and R. Goldman. Conditionalization: Adapting Forward-Chaining Planners to Partially Observable Environments. Proceedings of the ICAPS-07 Workshop on Planning and Plan Execution for Real-World Systems -- Principles and Practices for Planning in Execution. [to appear.]

  11. N. F. Ayan, U. Kuter, F. Yaman, and R. Goldman. HOTRiDE: Hierarchical Ordered Task Replanning in Dynamic Environments. Proceedings of the ICAPS-07 Workshop on Planning and Plan Execution for Real-World Systems -- Principles and Practices for Planning in Execution. [to appear.]

  12. S. Lee-Urban, H. Munoz-Avila, A. Parker, U. Kuter, and D. Nau. 2007. Transfer Learning of Hierarchical Task-Network Planning Methods in a Real-Time Strategy Game. Proceedings of the ICAPS-07 Workshop on AI Planning and Learning. [to appear.]

  13. U. Kuter, G. Levine, D. Green, A. Rebguns, G. DeJong, and D. Spears. 2007. Learning Constraints via Demonstration for Safe Planning. Proceedings of the AAAI-07 Workshop on Acquiring Planning Knowledge via Demonstration. [pdf]

  14. U. Kuter and J. Hu. 2007. Computing and Using Lower and Upper Bounds for Action Elimination in MDP Planning. Proceedings of the SARA-07. [pdf]

  15. U. Kuter and J. Golbeck. 2007. SUNNY: A New Algorithm for Trust Inference in Social Networks Using Probabilistic Confidence Models. Proceedings of the AAAI-07. [pdf]

  16. N. Lin, U. Kuter, and J. Hendler. 2007. Web Service Composition via Problem Decomposition Across Multiple Ontologies. Proceedings of the SWSP-07. [to appear.]

  17. U. Kuter and D. Nau. 2006. Controlled Search over Compact State Representations, in Nondeterministic Planning Domains and Beyond. Proceedings of the AAAI-06. [pdf]

  18. U. Kuter. 2006. Planning under Uncertainty: Moving Forward. Ph.D. Dissertation, University of Maryland, College Park. [pdf]

  19. J. Dix, U. Kuter, and D. Nau. 2005. Planning in Answer Set Programming using Ordered Task Decomposition. Book Chapter in Honor of Dov Gabbay's 60th birthday, S. Artemov, H. Barringer, L. Lamb, and J. Woods (eds). King's College Publications, London. [pdf]

  20. T.-C. Au, U. Kuter and D. Nau. 2005. Web Service Composition with Volatile Information. Proceedings of the ISWC-05. [pdf]

  21. U. Kuter. 2005. Planning under Uncertainty: Going Forward. Invited Talk at the Seminars on Artificial Intelligence Planning, National ICT Australia, Sydney, Australia. [ppt]

  22. U. Kuter and D. Nau. 2005. Using Domain-Configurable Search Control in Probabilistic Planners. Proceedings of the AAAI-05. [pdf]

  23. U. Kuter, D. Nau, M. Pistore, and P. Traverso. 2005. A Hierarchical Task Network Planner based Symbolic Model Checking. Proceedings of the ICAPS-05. [pdf]

  24. U. Kuter. 2005. Going where Hierarchical Task-Network Planning with Symbolic Model Checking. the Proceedings of the Doctoral Consortium in the 15th International Conference on Automated Planning and Scheduling (ICAPS-05). [pdf]

  25. U. Kuter, E. Sirin, B. Parsia, D. Nau, and J. Hendler. 2005. Information Gathering During Planing for Web Service Composition. Journal of Web Semantics (JWS): Science, Services, and Agents on the World Wide Web. 3(2--3):183-205. [pdf]

  26. D. Nau, T.-C. Au, O. Ilghami, U. Kuter, H. Munoz, W. Murdock, D. Wu, and F. Yaman, 2005. Applications of SHOP and SHOP2. IEEE Intelligent Systems. 20(2):34--41. [html]

  27. U. Kuter, E. Sirin, D. Nau, B. Parsia, and J. Hendler. 2004. Information Gathering During Planning for Web Service Composition. Proceedings of the ISWC-04. [pdf]

  28. U. Kuter, D. Nau, D. Gossink, and J. F. Lemmer, 2004. Interactive Planning under Uncertainty with Causal Modeling and Analysis. Proceedings of the KSCO-04. [pdf]

  29. U. Kuter and D. Nau. 2004. Forward-Chaining Planning in Nondeterministic Domains. Proceedings of the AAAI-04. [pdf]

  30. U. Kuter. 2004. Pushing the Limits of AI Planning. Proceedings of the Doctoral Consortium in the 14th International Conference on Automated Planning and Scheduling (ICAPS-04). [pdf]

  31. J. Dix, U. Kuter, and D. Nau. 2003. Planning in Answer Set Programming using Ordered Task Decomposition. Proceedings of the KI-03, LNAI Series 2821. [pdf]

  32. D. Nau, T.-C. Au, O. Ilghami, U. Kuter, W. Murdock, D. Wu, and F. Yaman, 2003. SHOP2: An HTN planning system. Journal of Artificial Intelligence Research 20:379--404. [html]

  33. J. Dix, U. Kuter, and D. Nau. 2001. HTN-planning in Answer Set Programming. Technical Report CS-TR-4336, Dept. of Computer Science, University of Maryland.

  34. U. Kuter and F. Polat. 2000. Learning Better in Dynamic, Partially Observable Environments. In Proceedings of Workshop on Modeling Artificial Societies and Hybrid Organizations in the Fourteenth Biennial European Conference on Artificial Intelligence (ECAI), pp. 50--68.

  35. U. Kuter. 2000. S-Learning: A Multi-Agent Reinforcement Learning Method. Masters Thesis. Department of Computer Engineering, Graduate School of Natural and Applied Sciences, Middle East Technical University, Ankara, Turkey.