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Swarm Intelligence: From Natural to Artificial Systems (Santa Fe Institute Studies on the Sciences of Complexity) 1st Edition

by Eric Bonabeau (Author), Guy Theraulaz (Author), Marco Dorigo (Author)
4.5 4.5 out of 5 stars 11 ratings
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Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the environment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science.

This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines.
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  1. ISBN-10
    0195131592
  2. ISBN-13
    978-0195131598
  3. Edition
    1st
  4. Publisher
    Oxford University Press
  5. Publication date
    September 23, 1999
  6. Language
    English
  7. Dimensions
    9.21 x 6.14 x 0.67 inches
  8. Print length
    320 pages
  9. See all details
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Swarm Intelligence: From Natural to Artificial Systems (Santa Fe Institute Studies on the Sciences of Complexity)
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Swarm Intelligence (The Morgan Kaufmann Series in Evolutionary Computation)
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Editorial Reviews

About the Author

Eric Bonabeau is at Santa Fe Institute. Marco Dorigo is at Free University of Brussels.

Product details

  • Publisher ‏ : ‎ Oxford University Press; 1st edition (September 23, 1999)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 320 pages
  • ISBN-10 ‏ : ‎ 0195131592
  • ISBN-13 ‏ : ‎ 978-0195131598
  • Item Weight ‏ : ‎ 1.01 pounds
  • Dimensions ‏ : ‎ 9.21 x 6.14 x 0.67 inches
  • Customer Reviews:
    4.5 4.5 out of 5 stars 11 ratings

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  1. Eric Bonabeau

    Eric Bonabeau

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  2. Marco Dorigo

    Marco Dorigo

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Customer reviews

4.5 out of 5 stars
11 global ratings

Top reviews from the United States

Lance
5.0 out of 5 stars Perfect
Reviewed in the United States on March 6, 2023
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Quality was just as described, thanks!
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Bill15101
5.0 out of 5 stars great
Reviewed in the United States on December 3, 2014
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Arrived on time and is exactly as advertised.
One person found this helpful
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Alcherio Martinoli
4.0 out of 5 stars A first milestone in the study of Swarm Intelligence
Reviewed in the United States on April 26, 2000
The book of Bonabeau, Dorigo, and Theraulaz is an excellent example of synergetic work between a physicist, an engineer, and a biologist. The Swarm Intelligence principles are first described and understood through models in natural systems and then translated in optimization algorithms, distributed algorithms for robotic control, and so on. Even if the book does not completely succeed in linking all three disciplines together - computer science, engineering, and biology - under a sound, common formalism, it represents an extremely up to date collection of work carried out worldwide in the field of Swarm Intelligence. I strongly believe in the future of this field and of its applications to problems hard to tackle with classical techniques. This book summarizes in an very equilibrated way the early, promising steps of Swarm Intelligence.
27 people found this helpful
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S. D. Shell
5.0 out of 5 stars Amazing use of artificial intelligence
Reviewed in the United States on September 14, 2014
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Amazing use of artificial intelligence.
2 people found this helpful
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Bertrand Ducharme
5.0 out of 5 stars Algorithms inspired by social insects
Reviewed in the United States on February 13, 2000
A good synthesis of studies on swarm intelligence. It is fascinating to see how complex intelligent behavior can emerge from simple rules and numerous interactions without any plan or centralized coordination. Algorithms inspired by social insects can be applied in many disciplines. It is a book easy to understand but difficult to read through for those who don't love algorithms. It includes a very neat introduction to the subject with many clear examples. Everyone should read that part and at least throw a glance at the rest of the book.
50 people found this helpful
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Steve Uhlig
5.0 out of 5 stars Impressively good, but not an introduction
Reviewed in the United States on June 2, 2003
Compared to "Swarm intelligence" by James Kennedy, this one is not introductive but gets quite deep into the working of applying the "swarm" paradigm to optimization problems. I would rather recommmend for a person not used to meta-heuristics and optimization to first go to the book by Kennedy. Only if one is interested in using swarm for solving real optimization problems reading this one is a good idea.
This book illustrates several features of swarm behavior that can be leveraged for optimization. The authors writing style is equivalent to technical papers, so be prepared...this is no easy book.
25 people found this helpful
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