Department of
Computer Science
695 Park Ave.
NY, NY 10021

 

Problem Solving and Machine Learning Laboratory

The CUNY Graduate School, Department of Computer Science and

 Hunter College, Department of Computer Science

 

 

 

 

 

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People

Susan Epstein

Xingjian Li

Tiziana Ligorio

Eric Osisek

Xi Yun

 

Current Projects

Adaptive Constraint Engine

Loqui: a wizard ablation dialogue system project

 

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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