Convergence and Knowledge Processing in Multi-Agent Systems
Multi-agent systems are complex systems comprised of multiple intelligent agents that act either independently or in cooperation with one another. Agent-based modelling is a method for studying complex systems like economies, societies, ecologies etc. Due to their complexity, very often mathematical...
Main Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
London
Springer London
2009, 2009
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Edition: | 1st ed. 2009 |
Series: | Advanced Information and Knowledge Processing
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Summary: | Multi-agent systems are complex systems comprised of multiple intelligent agents that act either independently or in cooperation with one another. Agent-based modelling is a method for studying complex systems like economies, societies, ecologies etc. Due to their complexity, very often mathematical analysis is limited in its ability to analyse such systems. In this case, agent-based modelling offers a practical, constructive method of analysis. The objective of this book is to shed light on some emergent properties of multi-agent systems. The authors focus their investigation on the effect of knowledge exchange on the convergence of complex, multi-agent systems |
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Physical Description: | XV, 143 p online resource |
ISBN: | 9781848820630 |