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MULTIAGENT SYSTEMS edited by Gerhard Weiss
MIT Press, 2013, 2nd edition ISBN 978-0-262-01889-0
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The book's official website maintained by MIT Press:
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The book is suitable for classroom use (undergraduate, graduate, and postgraduate) and independent study,
and it can serve as a basic reference volume for both researchers and professionals from industry.
The primary audience are students and teachers of artificial intelligence, computer science, and information technology. Because of the multidisciplinary nature of multiagent
systems, it can also serve as a basic text for readers from disciplines such as psychology, economics, sociology, and philosophy. Each chapter
includes references, illustrations and examples, and exercises of varying degrees of difficulty. The book is designed to be self-contained and understandable without additional material.
Changes from the first edition. The first edition appeared in 1999, and since then the field of multiagent systems
has developed considerably. Some topics and themes that were characteristic of the field some twelve years ago play only a minor role today, and some of today's
core topics played no or only a marginal role at that time. This second edition captures all these changes.
What remained unchanged is the unique conception and vision behind the book: to have a high-quality course book and reference volume on multiagent
systems whose parts are all written by acknowledged authorities in the field.
Reasons for the interest in multiagent systems. A main reason for the vast interest and attention multiagent systems are receiving
is that they are seen as an enabling technology for applications that rely on distributed
and parallel processing of data, information, and knowledge in complex computing environments. With advancing
technology, such applications are becoming standard in a variety of domains such
as e-commerce, logistics, supply chain management, telecommunication, health
care, and manufacturing. More generally, such applications are characteristic of
several widely recognized computing paradigms known as grid computing, peer-to-peer computing,
pervasive computing, ubiquitous computing, autonomic computing, service-oriented computing, and cloud computing.
Another reason
for the broad interest in multiagent systems is that these systems are seen as
a technology and tool that helps to analyze and develop models and theories of
interactivity in large-scale human-centered systems.
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