Learning and Adaption in Multi-Agent Systems -

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Résumé :
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Learning and Adaption in Multi-Agent Systems, LAMAS 2005, held in The Netherlands, in July 2005, as an associated event of AAMAS 2005. The 13 revised papers presented together with two invited talks were carefully reviewed and selected from the lectures given at the workshop.

Sommaire:
An Overview of Cooperative and Competitive Multiagent Learning.- Multi-robot Learning for Continuous Area Sweeping.- Learning Automata as a Basis for Multi Agent Reinforcement Learning.- Learning Pareto-optimal Solutions in 2x2 Conflict Games.- Unifying Convergence and No-Regret in Multiagent Learning.- Implicit Coordination in a Network of Social Drivers: The Role of Information in a Commuting Scenario.- Multiagent Traffic Management: Opportunities for Multiagent Learning.- Dealing with Errors in a Cooperative Multi-agent Learning System.- The Success and Failure of Tag-Mediated Evolution of Cooperation.- An Adaptive Approach for the Exploration-Exploitation Dilemma and Its Application to Economic Systems.- Efficient Reward Functions for Adaptive Multi-rover Systems.- Multi-agent Relational Reinforcement Learning.- Multi-type ACO for Light Path Protection.