Convergence and Knowledge Processing in Multi-Agent Systems

Agent systems are being used to model complex systems like societies, markets and biological systems. This book sheds light upon the complex interrelation between interactivity/exchange and convergence in multi-agent systems, for the first time.

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

Klappentext

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.

Inhalt
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.