People
Current
Projects
Protein Sequence Allignment (CAPS)
Publications
Epstein, S. L., & Petrovic, S. (In press). Learning Expertise with Bounded Rationality and Self-awareness. In Metareasoning: Thinking about thinking: MIT Press.
Epstein, S. L. (2009). Integrating a Portfolio of Representations to Solve Hard
Problems. In Proceedings of the AAAI Fall Symposium on Multi-representational Architectures for Human-level Intelligence.
Epstein, S. L. and X. Li (2009). Cluster-based Modeling for Constraint Satisfaction
Problems. In Proceedings of the IJCAI Workshop on Learning Structural Knowledge from Observations.
Epstein, S. L., & Li, X. (2009). Cluster Graphs as Abstractions for Constraint
Satisfaction Problems. In Proceedings of SARA-09.
Epstein, S. L. and X. Li (2009). Search on Constraint Satisfaction Problems with
Sparse Secondary Structure. In Proceedings of International Symposium on Combinatorial Search (SoCS-09).
Petrovic, S. and S. L. Epstein (2008). Tailoring a Mixture of Search Heuristics.
Constraint Programming Letters 4: 15-38.
Epstein,
S. L. (2008). Building a Constraint Solver that Learns. In Proceedings of the AAAI Fall Symposium on BIologically Inspired Computer Architecture, Arlington VA. AAAI.
Epstein, S. L. (2008). Optimistic Problem Solving. In Proceedings of the AAAI
Fall Symposium on Naturally Inspired Artificial Intelligence, Arlington VA.
Epstein, S. L. and S. Petrovic (2008). Learning Expertise with Bounded Rationality
and Self-awareness. In Proceedings of AAAI Workshop on Metareasoning, Chicago, AAAI.
Zhang, Z. and S. L. Epstein (2008). Learned Value-Ordering Heuristics for Constraint
Satisfaction. In Proceedings of STAIR-08 Workshop at AAAI-2008.
Petrovic, S. and S. L. Epstein (2007). Random Subsets Support Learning a Mixture
of Heuristics. International Journal on Artificial Intelligence Tools 20(10): 1-17.
(An earlier,
less detailed version appeared as Petrovic, S. and S. L. Epstein (2007). Learning to Solve Constraint Problems. ICAPS-07 Workshop on Planning
and Learning, Providence RI.)
Petrovic, S. and S. L. Epstein (2007). Random Subsets Support Learning a Mixture
of Heuristics. In Proceedings of FLAIRS (2007), Key West, AAAI.
Petrovic, S., S. L. Epstein and R. J. Wallace (2007). Learning a Mixture of Search
Heuristics. In Proceedings of CP-07 Workshop on Autonomous Search, Providence, RI.
Petrovic, S. and S. L. Epstein (2007). Preferences Improve Learning to Solve Constraint
Problems. AAAI-07 Workshop on Preference for Artificial Intelligence.
Zhang, Z. and S.L. Epstein, (2007). Constraint Solving by Composition. Proceedings
of CP-07, Providence, RI.
Epstein, S. L. and R. J. Wallace. 2006. Finding Crucial Subproblems to
Focus Global Search. In Proceedings of ICTAI-2006, Washington, D.C., IEEE.
Petrovic, S. and S. L. Epstein. 2006. Full Restart Speeds Learning. In Proceedings
of FLAIRS-2006.
Epstein, S. L., E. C. Freuder and M. Wallace 2005. Learning to Support
Constraint Programmers. Computational Intelligence 21(4): 337-371.
Epstein, S. L., E. C. Freuder, R. M. Wallace and X. Li. 2005. Learning
Propagation Policies. In Proceedings of the Second International Workshop
on Constraint Propagation and Implementation, Sitges, Spain, pp.1-15.
Epstein, S. L. and T. Ligorio. 2004. Fast and Frugal Reasoning Enhances a
Solver for Really Hard Problems. In Proceedings of Cognitive Science 2004. Chicago: Lawrence Earlbaum, pp.351-356.
Epstein, S. L., E.C. Freuder, R. Wallace, A. Morozov and B. Samuels. 2002. The Adaptive
Constraint Engine. In Principles and Practice of Constraint Programming --
CP2002, 2470. Berlin: Springer Verlag.
Epstein, S. L.
and G. Freuder. 2001. Collaborative Learning for Constraint Solving. In Principles
and Practice of Constraint Programming -- CP2001, 2239. Berlin: Springer Verlag.
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