Meta-level reasoning in deliberative agents

Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004

Volumn , Issue , 2004, Pages 141-147

  Raja, Anita ^a   Lesser, Victor ^b  

^a University of North Carolina at Charlotte   (United States)

^b Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DELIBERATIVE AGENTS; META LEVEL REASONING; PROBLEM SOLVING ENVIRONMENTS; REAL TIME DECISIONS;

DECISION MAKING; HEURISTIC METHODS; INTELLIGENT CONTROL; MATHEMATICAL MODELS; MULTI AGENT SYSTEMS; PROBLEM SOLVING;

INTELLIGENT AGENTS;

EID: 16244394516     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IAT.2004.1342936     Document Type: Conference Paper

References (11)

1. D. P. Bertsekas and J. N. Tsitsiklis. Neuro-Dynamic Programming. Athena Scientific, Belmont, MA, 1996.
2. M. Boddy and T. Dean. Decision-theoretic deliberation scheduling for problem solving in time-constrained environments, 1994.
3. E. A. Hansen and S. Zilberstein. Monitoring anytime algorithms. SIGART Bulletin, 7(2):28-33, 1996.
4. E. J. Horvitz. Reasoning under varying and uncertain resource constraints. In National Conference on Artificial Intelligence of the American Association for AI (AAAI-88), pages 111-116, 1988.
5. A. Raja. Meta-level control in multi-agent systems. PhD Thesis, Computer Science Department, University of Massachusetts at Amherst, September 2003.
6. A. Raja and V. Lesser. Reasoning about Coordination Costs in Resource-Bounded Multi-Agent Systems. In In Proceedings of AAAI 2004 Spring Symposium on Bridging the multiagent and multirobotic research gap, Stanford, CA, March 2004, Pages 35-40, March 2004.
7. S. Russell and E. Wefald. Principles of metareasoning. In Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning, pages 400-411, 1989.
8. S. J. Russell, D. Subramanian, andR. Parr. Provably bounded optimal agents. In Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI-93), pages 338-344, 1993.
9. S. P. Singh, M. J. Kearns, D. J. Litman, and M. A. Walker. Empirical evaluation of a reinforcement learning spoken dialogue system. In Proceedings of the Seventeenth National Conference on Artificial Intelligence, pages 645-651, 2000.
10. R. Sutton and A. Barto. Reinforcement Learning. MIT Press, 1998.
11. T. Wagner, A. Garvey, and V. Lesser. Criteria-Directed Heuristic Task Scheduling. International Journal of Approximate Reasoning, Special Issue on Scheduling, 19(1-2):91-118, 1998. A version also available as UMASS CS TR-97-59.