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» Agent Compromises in Distributed Problem Solving
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ML
1998
ACM
220views Machine Learning» more  ML 1998»
13 years 7 months ago
Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments
Abstract. Coordination is an essential technique in cooperative, distributed multiagent systems. However, sophisticated coordination strategies are not always cost-effective in all...
Toshiharu Sugawara, Victor R. Lesser
IAT
2006
IEEE
14 years 1 months ago
Toward Inductive Logic Programming for Collaborative Problem Solving
In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
Jian Huang, Adrian R. Pearce
AI
2005
Springer
13 years 7 months ago
Constraint-based reasoning and privacy/efficiency tradeoffs in multi-agent problem solving
Because of privacy concerns, agents may not want to reveal information that could be of use in problem solving. As a result, there are potentially important tradeoffs between main...
Richard J. Wallace, Eugene C. Freuder
SAC
2005
ACM
14 years 27 days ago
A multi-agent approach for solving optimization problems involving expensive resources
In this paper, we propose a multi-agent approach for solving a class of optimization problems involving expensive resources, where monolithic local search schemes perform miserabl...
Hoong Chuin Lau, Hui Wang
AAAI
1996
13 years 8 months ago
Nearly Monotonic Problems: A Key to Effective FA/C Distributed Sensor Interpretation?
The fesractioncslly-Qcczdrrcate, cooperative (FA/C) distributed problem-solving paradigm is one approach for organizing distributed problem solving among homogeneous, cooperating ...
Norman Carver, Victor R. Lesser, Robert Whitehair