CONVERGENCE AND KNOWLEDGE PROCESSING IN MULTI-AGENT SYSTEMS. Este artículo no está disponible.
Idioma: inglés
Editorial: SPRINGER, 2009
- Tapa dura
- Usado
Librería: UK BOOKS STORE, London, London, Reino UnidoUK BOOKS STORE
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N° de ref. del artículo Adhy 9781848820623
- Título
- CONVERGENCE AND KNOWLEDGE PROCESSING IN MULTI-AGENT SYSTEMS
- Autor
- PHILIPPE DE WILDE, MARIA CHLI
- Editorial
- SPRINGER
- Año de publicación
- 2009
- Estado
- New Books
- Encuadernación
- Hardcover
- Idioma
- inglés
- ISBN 10
- 1848820623
- ISBN 13
- 9781848820623
- Edición
- Edición Internacional
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.
“Sinopsis” puede pertenecer a otra edición de este título.
De la contraportada
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.
“Acerca de” puede pertenecer a otra edición de este título.