Multiagent Systems: A Modern Approach to Distributed Artificial...

Features

• Cover Type: Paperback with 648 pages
• Published by: The MIT Press July 31, 2000
• Written in: English
• ISBN 10 Number: 0262731312
• ISBN 13 Number: 978-0262731317
• Book Dimensions: 9.9 x 8 x 1.2 inches
• Weighs: 2.7 pounds

Book Description
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 requirements 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.

Book Info
A comprehensive introduction of multiagent systems in artificial intelligence. Can be used as a textbook or for self-study, for researchers and practitioners. Brings together leading experts in the field, emphasizing both theory and application, and provides many illustrations and examples. Softcover. DLC: Intelligent agents.

Reader Reviews
This review is from: Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence (Hardcover) While perhaps this should not be your first book in AI, it should definitely be your first book on agents. It took me years to accumulate the knowledge present in this book, and it's a great survey of the field for the beginning investigator. However, while this is a great way to get started in agents, understand how agents can be used in intelligent applications (from distributed AI type problem solving, to resource optimization problems), and "get the agent paradigm," coverage of agent software engineering techniques is light. This is not a fault of this book - you will simply need other resources to understand the difficulties and current research in engineering multi agent systems (or indeed any concurrent distributed system). So if you are trying to figure out what to do with agents, or how agent systems work, this is the book for you. If you already know that and want help with formal specification of an agent, verifying your agents meet the specifications, etc. this is not the book for you. Understand that to build systems you will need both! Comment | | (Report this)