Autonomous Agents and Multi-Agent Systems: Explorations in Learning, Self-Organization and Adaptive Computation

Liu, Jiming

ISBN 10: 9810242824 / ISBN 13: 9789810242824

Published by World Scientific Publishing Co Pte Ltd, 2001

About this Item

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,600grams, ISBN:9810242824.

Seller Inventory # 4328859

Bibliographic Details

• Title: Autonomous Agents and Multi-Agent Systems: Explorations in Learning, Self-Organization and Adaptive Computation
• Publisher: World Scientific Publishing Co Pte Ltd
• Publication Date: 2001
• Language: English
• ISBN 10: 9810242824
• ISBN 13: 9789810242824
• Binding: Hardcover
• Condition: Fair
• Weight: 600 grams
• Seller catalogs:
  • Computing

About this title

Synopsis

An autonomous agent is a computational system that acquires sensory data from its environment and decides by itself how to relate the external stimulus to its behaviors in order to attain certain goals. Responding to different stimuli received from its task environment, the agent may select and exhibit different behavioral patterns. The behavioral patterns may be carefully predefined or dynamically acquired by the agent based on some learning and adaptation mechanism(s). In order to achieve structural flexibility, reliability through redundancy, adaptability, and reconfigurability in real-world tasks, some researchers have started to address the issue of multiagent cooperation. Broadly speaking, the power of autonomous agents lies in their ability to deal with unpredictable, dynamically changing environments. Agent-based systems are becoming one of the most important computer technologies, holding out many promises for solving real-world problems.The aims of this book are to provide a guided tour to the pioneering work and the major technical issues in agent research, and to give an in-depth discussion on the computational mechanisms for behavioral engineering in autonomous agents. Through a systematic examination, the book attempts to provide the general design principles for building autonomous agents and the analytical tools for modeling the emerged behavioral properties of a multiagent system.