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16

AAMAS
2002
Springer

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Cooperative Multiagent Learning

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Cooperative Multiagent Learning

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Cooperation and learning are two ways in which an agent can improve its performance. Cooperative Multiagent Learning is a framework to analyze the tradeoff between cooperation and learning in multiagent systems. We focus on multiagent systems where individual agents are capable of solving problems and learning using CBR (Case-based Reasoning). We present several collaboration strategies for agents that learn and their empirical results in several experiments. Finally we analyze the collaboration strategies and their results along several dimensions, like number of agents, redundancy, CBR technique used, and individual decision policies.

Enric Plaza, Santiago Ontañón

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AAMAS 2002 | Collaboration Strategies | Cooperative Multiagent | Intelligent Agents | Multiagent Systems |

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Added	16 Dec 2010
Updated	16 Dec 2010
Type	Journal
Year	2002
Where	AAMAS
Authors	Enric Plaza, Santiago Ontañón

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