Editors:
- Sheds light upon the complex interrelation between interactivity/exchange and convergence in multi-agent systems, for the first time
- Provides practical applications of convergence and equilibria in multi-agent systems
- Previous knowledge of neither game theories nor stochastic processes is required
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Agent systems are being used to model complex systems like societies, markets and biological systems. In this book we investigate issues of agent systems related to convergence and interactivity using techniques from agent based modelling to simulate complex systems, and demonstrate that interactivity/exchange and convergence in multi-agent systems are issues that are significantly interrelated.
Topic and features: - Introduces the state of the art in multi-agent systems, with an emphasis on agent-based computational economics. - Sheds light on the fundamental concepts behind the stability of multi-agent systems. - Investigates knowledge exchange among agents, the rationale behind it and its effects on the ecosystem. - Explores how information provided through interaction with the system can be used to optimise its performance. - Describes a pricing strategy for a realistic large-scale distributed system.
This book supplies a comprehensive resource and will be invaluable reading for researchers and postgraduates studying this topic.
Editors and Affiliations
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Aston University, Birmingham, United Kingdom
Maria Chli
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Heriot Watt University, Edinburgh, United Kingdom
Philippe de Wilde
Bibliographic Information
Book Title: Convergence and Knowledge Processing in Multi-Agent Systems
Editors: Maria Chli, Philippe de Wilde
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/978-1-84882-063-0
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2009
Hardcover ISBN: 978-1-84882-062-3Published: 08 June 2009
Softcover ISBN: 978-1-84996-821-8Published: 22 October 2010
eBook ISBN: 978-1-84882-063-0Published: 20 May 2009
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: XV, 143
Topics: Artificial Intelligence, Game Theory, Economics, Social and Behav. Sciences, Economic Theory/Quantitative Economics/Mathematical Methods