Convergence and knowledge processing in multi-agent systems
Chli, Maria and de Wilde, Phillipe (2009). Convergence and knowledge processing in multi-agent systems. Advanced information and knowledge processing . London: Springer.
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Official URL: http://www.springerlink.com/content/p70561/
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.
|Uncontrolled Keywords:||adaptive behaviour, agent-based computational economics, decision making, distributed systems, economics, equilibrium distribution, games, intelligent agents, multi-agent systems, stability|
|Divisions:||Schools_of_Study > Engineering & Applied Science > Computer Science (EAS)|
|Deposited By:||Prof Alfred Admin|
|Deposited On:||10 Dec 2012 15:03|
|Last Modified:||14 Feb 2013 14:30|
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