Convergence and Knowledge Processing in Multi-Agent Systems by Maria ChliConvergence and Knowledge Processing in Multi-Agent Systems by Maria Chli

Convergence and Knowledge Processing in Multi-Agent Systems

byMaria Chli, Philippe De Wilde

Paperback | October 22, 2010

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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.
Title:Convergence and Knowledge Processing in Multi-Agent SystemsFormat:PaperbackDimensions:160 pages, 9.25 × 6.1 × 0.04 inPublished:October 22, 2010Publisher:Springer LondonLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1849968217

ISBN - 13:9781849968218

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Table of Contents

1. Introduction1.1 Background to the research1.2 Approach1.3 Contributions1.4 Reader's guide to the book2. Research Issues2.1 Multi-Agent Systems2.2 Agent-Based Modelling2.3 An Ecosystem Perspective of Multi-Agent Systems2.4 Convergence Issues2.5 Interaction and Knowledge Exchange3. Stability of Multi-Agent Systems3.1 Introduction3.2 Background3.3 Stability in Games3.4 Experiments3.5 Conclusion4. The Emergence of Knowledge Exchange4.1 Introduction4.2 Digital Business Ecosystems4.3 Background4.4 An agent-based model of the DBE4.5 Analysis of the model4.6 Concluding remarks5. Collaborative Query Expansion5.1 Introduction5.2 Term Value5.3 Implementation5.4 Evaluation5.5 Introducing User Collaboration for Query Expansion5.6 Limitations and Future Work5.7 Conclusion6. Micro-economic Control of Distributed Intelligent Personal Assistants6.1 Stable Strategies6.2 Network of Intelligent Personal Assistants6.3 Finding a Stable Strategy6.4 Conclusion7. Conclusions and Future Work7.1 Contributions7.2 Future Directions7.3 Concluding RemarksAppendicesA. The EEII projectB. Statistical AnalysisC. Methodology: Evolutionary AlgorithmsReferences