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Swarm Intelligence: From Natural to Artificial Systems

Name: Swarm Intelligence: From Natural to Artificial Systems
Brand: Oxford University Press
SKU: 9780195131598
Price: 104.99 USD
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Contributors:

Eric Bonabeau, Marco Dorigo, Guy Theraulaz

Publisher:

Oxford University Press

Binding:

Paperback

Book Category:

Science, Computers, Medical

Book Subcategory:

Life Sciences, Artificial Intelligence, Neuroscience

Book Topic:

Zoology

Series:

Santa Fe Institute Studies in the Sciences of Complexity

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The product is eligible for a complimentary return within 30 days from the date of purchase. Furthermore, individual items are shipped within 24 hours of receiving the order.

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Specifications +

Release Date:

2001-01-01

ISBN 13:

9780195131598

Weight:

1 lbs

Size:

9.28 x 6.18 x 0.57 inches

Pages:

320

Mint Condition +

product description

Description

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.