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Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence (Paperback)

by G Weiss (Author) "Since its inception in the mid to late 1970s distributed artificial intelligence (DAI) evolved and diversified rapidly ..." (more)

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Product details

Paperback: 648 pages
Publisher: MIT Press; New edition edition (14 Sep 2000)
Language English
ISBN-10: 0262731312
ISBN-13: 978-0262731317
Product Dimensions: 25.1 x 20.3 x 3 cm

Average Customer Review: 1.0 out of 5 stars See all reviews (1 customer review)

Amazon.co.uk Sales Rank: 90,193 in Books (See Bestsellers in Books)

Popular in these categories:

#6 in	Books > Computing & Internet > Networking & Security > Network Topics > Distributed Computing
#30 in	Books > Computing & Internet > Computer Science > Algorithms > Artificial Intelligence
#61 in	Books > Art, Architecture & Photography > Criticism & Theory > Modernism

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Product Description

An introduction to multiagent systems and contemporary distributed artificial intelligence, this text provides coverage of basic topics as well as closely-related ones. It emphasizes aspects of both theory and application and includes exercises of varying degrees of difficulty.

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Since its inception in the mid to late 1970s distributed artificial intelligence (DAI) evolved and diversified rapidly. Read the first page

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1.0 out of 5 stars a disappointing academic text, 2 Feb 2008

By	reviewer1978 "reviewer1978" (U.K.) - See all my reviews

This is a heavy-weight text that promises a lot. The table of contents suggests a useful coverage of many important areas in distributed artificial intelligence. Unfortunately, this book is full of loose and unsupported statements such as claims of multi-agent systems automatically leading to computational speed-ups due to parallelism. This is, of course, a radical claim for anyone with real-world experience in designing these systems. In this sense, the book is very unbalanced, neglecting to emphasise the difficulties in designing these systems and not providing any guidelines on how to do so. The authors would have been better consulting distributed AI architects to anchor this text in the real world. Do not waste your time here if you intend to attempt to develop reliable and efficient multi-agent systems.

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