Metaknowledge for autonomous systems

AAAI Spring Symposium - Technical Report

Volumn 4, Issue , 2004, Pages 61-68

  Epstein, Susan L ^a  

^a CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS RESTRUCTURING; DISCOVERY SYSTEMS; EVALUATION METRICS; METAKNOWLEDGE;

DECISION MAKING; HEURISTIC METHODS; HEURISTIC PROGRAMMING; KNOWLEDGE REPRESENTATION; LEARNING SYSTEMS; PROBLEM SOLVING;

AUTONOMOUS AGENTS;

EID: 22344435557     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Cheeseman, P., B. Kanefsky and W. M. Taylor (1991). Where the REALLY Hard Problems Are. Proceedings of the Twelfth International Joint Conference on Artificial Intelligence pp. 331-337.
2. D'Andrade, R. G. (1990). Some Propositions about the Relations between Culture and Human Cognition In Cultural Psychology: Essays on Comparative Human Development, ed. by J. W. Stigler, R. A. Shweder and G. Herdt. Cambridge, Cambridge University Press: 65-129.
3. Epstein, S. L. (1994). "For the Right Reasons: The FORR Architecture for Learning in a Skill Domain." Cognitive Science 18(3): 479-511.
4. Epstein, S. L. (1998). "Pragmatic Navigation: Reactivity, Heuristics, and Search." Artificial Intelligence 100(1-2): 275-322.
5. Epstein, S. L. (2001). Learning to Play Expertly: A Tutorial on Hoyle. Machines That Learn to Play Games. J. Fürnkranz and M. Kubat. Huntington, NY, Nova Science: 153-178.
6. Epstein, S. L., E. C. Freuder, R. Wallace, A. Morozov and B. Samuels (2002). The Adaptive Constraint Engine. Principles and Practice of Constraint Programming -CP2002. P. Van Hentenryck. Berlin, Springer Verlag. 2470: 525-540.
7. Epstein, S. L. and G. Freuder (2001). Collaborative Learning for Constraint Solving. Principles and Practice of Constraint Programming - CP2001. T. Walsh. Berlin, Springer Verlag. 2239: 46-60.
8. Epstein, S. L., J. Gelfand and E. T. Lock (1998). "Learning Game-Specific Spatially-Oriented Heuristics." Constraints 3(2-3): 239-253.
9. Freuder, E. and A. Mackworth, Eds. (1994). Constraint-Based Reasoning. Cambridge, MA, MIT Press.
10. Keim, G. A., et al. (1999). PROVERB: The Probabilistic Cruciverbalist. Proceedings of the Sixteenth National Conference on Artificial Intelligence, Orlando, AAAI Press.
11. Nudel, B. (1983). "Consistent-labeling problems and their algorithms: Expected-complexities and theory-based heuristics." Artificial Intelligence 21: 135-178.
12. Tsang, E. P. K. (1993). Foundations of Constraint Satisfaction. London, Academic Press.