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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Chli, Maria. (Editor), Wilde, Philippe de. (Editor)
Format: Electronic
Language:English
Published: London : Springer London, 2009.
Series:Advanced Information and Knowledge Processing
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-84882-063-0
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505 0 # |a Introduction -- Research Issues -- Stability of Multi-Agent Systems -- The Emergence of Knowledge Exchange: An Agent-Based Model of a Software Market -- Collaborative Query Expansion -- Micro-economic Control of Distributed Intelligent Personal Assistants -- Conclusions and Future Work -- Appendix A: The EEII Project -- B: Statistical Analysis -- C: Methodology: Evolutionary Algorithms. 
520 # # |a 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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