Swarm Intelligence

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ID: 289367
1999
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Abstract
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.
Reference Key
openalex_W2126554879 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Eric Bonabeau, Marco Dorigo, Guy Théraulaz
Journal Oxford University Press eBooks
Year 1999
DOI
10.1093/oso/9780195131581.001.0001
URL
https://doi.org/10.1093/oso/9780195131581.001.0001
Keywords Keywords not found

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