Adaptive Agents and Multi-Agent Systems III. 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

Tuyls, Nowe, Guessoum, and Kudenko, editors

ISBN 10: 3540779477 / ISBN 13: 9783540779476

Editore: Springer, 2008

Riguardo questo articolo

254 numbered pages; small stain at the bottom left of the last ten or so pages; minor wrinkle inside back cover; a few specks to edges of closed pages; light wear to corners and edges of cover; moisture wrinkle at bottom right of back cover; medium bump to bottom of spine; a few minor dings to cover; weighs 14.3 ounces; measures 9.2 by 6.1 by .6 inches; 010723; The goal of the ALAMAS symposia, and this associated book, is to increase awareness and interest in adaptation and learning for single agents and mul- agent systems, and encourage collaboration between machine learning experts,

Codice articolo 19403

Dati bibliografici

• Titolo: Adaptive Agents and Multi-Agent Systems III. 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
• Editore: Springer
• Data di pubblicazione: 2008
• Lingua: Inglese
• ISBN 10: 3540779477
• ISBN 13: 9783540779476
• Rilegatura: Soft cover
• Condizione: Fair

Descrizione articolo

Riassunto

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.

Contenuti

To Adapt or Not to Adapt – Consequences of Adapting Driver and Traffic Light Agents.- Optimal Control in Large Stochastic Multi-agent Systems.- Continuous-State Reinforcement Learning with Fuzzy Approximation.- Using Evolutionary Game-Theory to Analyse the Performance of Trading Strategies in a Continuous Double Auction Market.- Parallel Reinforcement Learning with Linear Function Approximation.- Combining Reinforcement Learning with Symbolic Planning.- Agent Interactions and Implicit Trust in IPD Environments.- Collaborative Learning with Logic-Based Models.- Priority Awareness: Towards a Computational Model of Human Fairness for Multi-agent Systems.- Bifurcation Analysis of Reinforcement Learning Agents in the Selten’s Horse Game.- Bee Behaviour in Multi-agent Systems.- Stable Cooperation in the N-Player Prisoner’s Dilemma: The Importance of Community Structure.- Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrap.- Auctions, Evolution, and Multi-agent Learning.- Multi-agent Reinforcement Learning for Intrusion Detection.- Networks of Learning Automata and Limiting Games.- Multi-agent Learning by Distributed Feature Extraction.