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Collective Complexity out of Individual Simplicity

Martinoli, Alcherio (2001) Collective Complexity out of Individual Simplicity. Artificial Life, 7 (3). pp. 315-319. ISSN 1064-5462. doi:10.1162/106454601753238663.

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The concept of Swarm Intelligence (SI) was first introduced by Gerardo Beni, Suzanne Hackwood, and Jing Wang in 1989 when they were investigating the properties of simulated, self-organizing agents in the framework of cellular robotic systems [1]. Eric Bonabeau, Marco Dorigo, and Guy Theraulaz extend the restrictive context of this early work to include “any attempt to design algorithms or distributed problem-solving devices inspired by the collective behavior of social insect colonies,” such as ants, termites, bees, wasps, “and other animal societies.” The abilities of such systems appear to transcend the abilities of the constituent individuals. In most biological cases studied so far, robust and capable high-level group behavior has been found to be mediated by nothing more than a small set of simple low-level interactions between individuals, and between individuals and the environment. The SI approach, therefore, emphasizes parallelism, distributedness, and exploitation of direct (agent-to-agent) or indirect (via the environment) local interactions among relatively simple agents.

Item Type:Article
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Alternate Title:Book Review of Swarm Intelligence: From Natural to Artificial Systems. Eric Bonabeau, Marco Dorigo, and Guy Theraulaz
Additional Information:© 2001 Massachusetts Institute of Technology. Book review of: Swarm Intelligence: From Natural to Artificial Systems. Eric Bonabeau, Marco Dorigo, and Guy Theraulaz. 1999, Oxford University Press. 309 pages. ISBN: 9781423738800.
Issue or Number:3
Record Number:CaltechAUTHORS:20140610-155110984
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:46191
Deposited By: Tony Diaz
Deposited On:10 Jun 2014 23:10
Last Modified:10 Nov 2021 17:22

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