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Adaptive agents and multi-agent systems III [electronic resource] : adaptation and multi-agent learning ; 5th, 6th, and 7th European Symposium, ALAMAS 2005-2007 on Adaptive and Learning Agents and Multi-Agent Systems : revised selected papers /
Karl Tuyls ... [et al.] (eds.).
Berlin ; New York : Springer, c2008.
viii, 254 p. : ill. ; 24 cm.
3540779477 (pbk.), 9783540779476 (pbk.)
A Look Inside
Main Description
The LNAI series reports state-of-the-art results in artificial intelligence research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the RD community, with numerous individuals, as well as with prestigious organizations and societies, LNAI has grown into the most comprehensive artificial intelligence research forum available.
Main Description
This book constitutes the thoroughly refereed post-conference proceedings of three editions of the European Symposium on Adaptive and Learning Agents and Multi-Agent Systems, ALAMAS, held in Paris, Brussels and Maastricht in 2005, 2006, and 2007 respectively.This book presents 17 revised and carefully reviewed papers selected from 51 total submissions to the ALAMAS symposia from 2005 to 2007. This volume aims at increasing awareness and interest in adaptation and learning for single agents and multi-agent systems, and encourages collaboration between Machine Learning experts, Software Engineering experts, Mathematicians, Biologists and Physicists, and gives a representative overview of current state of affairs in this area.
Table of Contents
To Adapt or Not to Adapt - Consequences of Adapting Driver and Traffic Light Agentsp. 1
Optimal Control in Large Stochastic Multi-agent Systemsp. 15
Continuous-State Reinforcement Learning with Fuzzy Approximationp. 27
Using Evolutionary Game-Theory to Analyse the Performance of Trading Strategies in a Continuous Double Auction Marketp. 44
Parallel Reinforcement Learning with Linear Function Approximationp. 60
Combining Reinforcement Learning with Symbolic Planningp. 75
Agent Interactions and Implicit Trust in IPD Environmentsp. 87
Collaborative Learning with Logic-Based Modelsp. 102
Priority Awareness: Towards a Computational Model of Human Fairness for Multi-agent Systemsp. 117
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Gamep. 129
Bee Behaviour in Multi-agent Systems: A Bee Foraging Algorithmp. 145
Stable Cooperation in the N-Player Prisoner's Dilemma: The Importance of Community Structurep. 157
Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrapp. 169
Auctions, Evolution, and Multi-agent Learningp. 188
Multi-agent Reinforcement Learning for Intrusion Detectionp. 211
Networks of Learning Automata and Limiting Gamesp. 224
Multi-agent Learning by Distributed Feature Extractionp. 239
Author Indexp. 255
Table of Contents provided by Ingram. All Rights Reserved.

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