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Swarm Intelligence (The Morgan Kaufmann Series in Artificial Intelligence)
 
 
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Swarm Intelligence (The Morgan Kaufmann Series in Artificial Intelligence) [Hardcover]

Russell C. Eberhart , James Kennedy , Yuhui Shi , et al.
3.7 out of 5 stars  See all reviews (3 customer reviews)
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Product details

  • Hardcover: 512 pages
  • Publisher: Morgan Kaufmann Publishers In (11 April 2001)
  • Language English
  • ISBN-10: 1558605959
  • ISBN-13: 978-1558605954
  • Product Dimensions: 24.3 x 19.4 x 3 cm
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Bestsellers Rank: 492,326 in Books (See Top 100 in Books)
  • See Complete Table of Contents

More About the Author

James F. Kennedy
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Product Description

Review

Well received the September UK Game industry show. Recent publicity includes a mention in Visual Basic Design Magazine, June issue.

Product Description

Traditional methods for creating intelligent computational systems have privileged private 'internal' cognitive and computational processes. In contrast, "Swarm Intelligence" argues that human intelligence derives from the interactions of individuals in a social world and further, that this model of intelligence can be effectively applied to artificially intelligent systems. The authors first present the foundations of this new approach through an extensive review of the critical literature in social psychology, cognitive science, and evolutionary computation. They then show in detail how these theories and models apply to a new computational intelligence methodology-particle swarms - which focuses on adaptation as the key behavior of intelligent systems. Drilling down still further, the authors describe the practical benefits of applying particle swarm optimization to a range of engineering problems. Developed by the authors, this algorithm is an extension of cellular automata and provides a powerful optimization, learning, and problem solving method. This important book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation and by applying these insights to the solving of difficult engineering problems. Researchers and graduate students in any of these disciplines will find the material intriguing, provocative, and revealing as will the curious and savvy computing professional. This title places particle swarms within the larger context of intelligent adaptive behavior and evolutionary computation. It describes recent results of experiments with the particle swarm optimization (PSO) algorithm. It includes a basic overview of statistics to ensure readers can properly analyze the results of their own experiments using the algorithm. There is a support software which can be downloaded from the publishers website that includes a Java PSO applet, C and Visual Basic source code.

Inside This Book (Learn More)
First Sentence
"This chapter begins to set the stage for the computational intelligence paradigm we call ""particle swarm,"" which will be the focus of the second half of the book." Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index
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Customer Reviews

Most Helpful Customer Reviews
16 of 18 people found the following review helpful
Vague and Muddled 5 Jun 2003
By Mr AI
Format:Hardcover
This is not a good book.

The authors have invented a new, biologically inspired optimisation algorithm (Particle Swarm Optimisation). Like all algorithms it is fundamentally quite simple; once you get your head around it. Like all search algorithms it is good at some things and poor at others.

Unfortunately the book is filled with irrelevant details. It is not a book on Swarm Intelligence; it is a book on the authors algorithm - so it is of little use to people seeking to build social simulations in any other way. On the other hand it does not ask rigorous questions of the algorithm, so it is of limited use to people interested in the technique.

The book tries to pitch at a 'popular science' reader, but the authors find it difficult to present a clear argument without vacillating between patronising simplicity and unexplained jargon randomly introduced.

There are much better alternatives (the Santa Fe Institute book, for example) if you are genuinely interested in 'Swarm Intelligence'.

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15 of 17 people found the following review helpful
By H. H. Li VINE™ VOICE
Format:Hardcover
This book is about how a complex system can be constructed from simple processes. It first described the flocks social behavior model. (Flocks, boids etc. are used quite frequently in movie/tv animations to simulate a group of fish etc.) Then follows evolutionary computation theory (including a detailed description of genetic algorithms), human psychology, collective intelligence, and their application/implications. Since I'm doing a project in artificial evolution of boids (Bird-roids), I find this book very helpful in giving me ideas of how the boids should behave in a socially more realistic way. However this book is mainly theory and doesn't include much implementing details of different system it described (I learnt GA implementing details from the other book 'Genetic Algorithms in search optimisation and machine learning' and various webpages). Overall, a very good book for somebody researching into the area of distributed artificial intelligence.
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brilliant analysis 3 April 2008
Format:Hardcover
Very thorough, First takes you through the "thinking behind" Swarm intelligence, almost philosophical. Well balanced, the models start to get more complicated and technical as you progress through the latter chapters. Has some other good models such as AxelRods ACM built in, and with this alone gives/demonstrated four different experiments (with actual results) .....

After this book i think you will be well versed in the technical and more informed aspects of Swarm intelligence. Immerses the reader to give well grounded principles to which further research can be done ... after all you will never find ONE BOOK (Bible) On swarm inteligence since every-one builds there own types but what one needs is a foundation an understanding technical as well as more philosophical in order to has the tools to progress.
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