Austin Parker

Office: AVW 3264

• Downingtown High School class of 1998.
• BA in Mathematics and Philosophy from Haverford College class of 2002.
• Ph.D. in Computer Science, University of Maryland, 2008. Dissertation title: Spatial Probabilistic Temporal Databases.
• Currently a Postdoc at the University of Maryland.

Papers (reverse chronological order):

1. Error Minimizing Minimax: Avoiding Search Pathology in Game Trees by Brandon Wilson, Austin Parker, and Dana Nau. To appear in Symposium on Combinatorial Search 2009.
2. Within Epsilon of Optimal Play in the Cultaptation Social Learning Game by Ryan Carr, Eric Raboin, Austin Parker, and Dana Nau (Short Paper). to appear in AAMAS 2009.
3. SPOT Databases: Efficient Consistency Checking and Optimistic Selection in Probabilistic Spatial Databases by Austin Parker, Guillaume Infantes, John Grant, and VS Subrahmanian. IEEE Transactions on Knowledge and Data Engineering, Vol. 21, Nr. 1, pages 92-107, Januaray 2009. bibtex entry
4. R. Carr, E. Raboin, A. Parker, and D. Nau. Balancing innovation and exploitation in a social learning game. In AAAI Fall Symposium on Adaptive Agents in Cultural Contexts, 2008. bibtex entry pdf
5. E. Raboin, R. Carr, A. Parker, and D. Nau. When innovation matters: An analysis of innovation in a social learning game. In International Conference on Computational Cultural Dynamics (ICCCD), 2008. bibtex entry pdf
6. Austin Parker, Guillaume Infantes, V.S. Subrahmanian, John Grant, "An AGM-Based Belief Revision Mechanism for Probabilistic Spatio-Temporal Logics" AAAI 2008. bibtex entry pdf
7. Austin Parker, V.S. Subrahmanian, John Grant, "A Logical Formulation of Probabilistic Spatial Databases," IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 11, pp. 1541-1556, November, 2007. bibtex entry
8. "Transfer Learning of Hierarchical Task-Network Planning Methods in a Real-Time Strategy Game", by Stephen Lee-Urban, Austin Parker, Ugur Kuter, Hector Munoz-Avila, Dana Nau, in the Proceedings of the Workshop on Artificial Intelligence Planning and Learning (part of ICAPS07), September 2007. pdf
9. Probabilistic Go Theories, by Austin Parker, Fusun Yaman, Dana Nau, and VS Subrahmanian. (IJCAI 07) pdf (bibtex entry).
10. The Role of Imperfect Information, by Austin Parker, Dana Nau, and VS Subrahmanian, pages 209-229 in Adversarial Reasoning: Computational Approaches to Reading the Opponent's Mind edited by Alexander Kott and William M. McEneaney [ISBN 1-58488-588-2].
11. Overconfidence or Paranoia? Search in Imperfect-Information Games, by Austin Parker, Dana Nau, and VS Subrahmanian. (AAAI 06) pdf (bibtex entry).
12. Game-Tree Search with Combinatorially Large Belief States, by Austin Parker, Dana Nau, and VS Subrahmanian. (IJCAI 05) pdf (bibtex entry).

• A correct method for computing mean and standard deviation without storing all the samples. here. Perl code accomplishing same here, java code. ocaml code
• A script for finding averages in column-formatted text files: comavg.pl.
• A script for computing the Person correlation coefficient in column-formatted text files: compcor.pl.