MULTIAGENTS SYSTEMS: A MODERN APPROACH TO DISTRIBUTED ARTIFICIAL INTELLIGENCE

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Ouvrage 9780262731317 : MULTIAGENTS SYSTEMS: A MODERN APPROACH TO DISTRIBUTED ARTIFICIAL INTELLIGENCE
This is the first comprehensive introduction to
multiagent systems and contemporary distributed
artificial intelligence that is suitable as a
textbook. The book provides detailed coverage of basic
topics as well as several closely related ones.
Unlike traditional textbooks, the book brings
together many leading experts, guaranteeing a broad
and diverse base of knowledge and expertise. It
emphasizes aspects of both theory and
application, and provides many illustrations and
examples. Also included are thought-provoking
exercises of varying degrees of difficulty and a
twenty-page glossary of terms found in the study of
agents, multiagent systems, and distributed
artificial intelligence.
The book can be used for teaching as well as
self-study, and is designed to meet the needs of
both researchers and practitioners. In view of the
interdisciplinary nature of the field, it will be a
useful reference not only for computer scientists
and engineers, but for social scientists and
management and organization scientists as well.
Contributors: Gul A. Agha, Kathleen M. Carley, Jose
Cuena, Edmund H. Durfee, Clarence Ellis,
Les Gasser, Michael P. Georgeff, Michael N. Huhns,
Toru Ishida, Nadeem Jamali, Sascha
Ossowski, H. Van Dyke Parunak, Anand S. Rao, Tuomas
W. Sandholm, Sandip Sen, Munindar P.
Singh, Larry M. Stephens, Gerard Tel, Jacques
Wainer, Gerhard Weiss, Michael J. Wooldridge,
Makoto Yokoo.
Gerhard Weiss is Research Scientist in the Computer
Science Department atthe Technical
University of Munich.
Table of Contents
Contributing Authors
Preface
Prologue
Part I: Basic Themes
Chapter 1: Intelligent Agents
Chapter 2: Multiagent Systems and Societies of
Agents
Chapter 3: Distributed Problem Solving and
Planning
Chapter 4: Search Algorithms for Agents
Chapter Chapter 5: Distributed Rational
Decision Making
Chapter 6: Learning in Multiagent Systems
Chapter 7: Computational Organization Theory
Chapter 8: Formal Methods in DAI: Logic-Based
Representation and Reasoning
Chapter 9: Industrial and Practical
Applications of DAI
Part II: Related Themes
Chapter 10: Groupware and Computer Supported
Cooperative Work
Chapter 11: Distributed Models for Decision
Support
Chapter 12: Concurrent Programming for DAI
Chapter 13: Distributed Control Algorithms for
AI
Glossary
Subject Index

Auteur : WEISS
Editeur : M.I.T. PRESS
Nombre de pages : 620
Date de publication : 09 2000

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