TitleCooperative Multiagent Learning
Publication TypeJournal Article
Year of Publication2003
AuthorsPlaza E, Ontañón S
JournalAdaptative Agents and Multi-Agent Systems
VolumeLNAI 2636

Cooperation and learning are two ways in which an agent can improve its performance. Cooperative Multiagent Learning is a framework to analyze the trade-off between cooperation and learning in multi agent 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.