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Swarm intelligence

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Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.SI systems consist typically of a population of simple agents or boids interacting locally with one another and with their environment. The inspiration often comes from nature, especially biological systems. The agents follow very simple rules, and although there is no centralized control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of "intelligent" global behavior, unknown to the individual agents. Examples of swarm intelligence in natural systems include ant colonies, bee colonies, bird flocking, hawks hunting, animal herding, bacterial growth, fish schooling and microbial intelligence.

Swarm intelligence - Wikipedia Jump to content From Wikipedia, the free encyclopedia Collective behavior of decentralized, self-organized systems This article needs more citations . Please help improve this article by adding citations to reliable sources . Unsourced material may be challenged and removed . Find sources: "Swarm intelligence" – news · newspapers · books · scholar · JSTOR ( March 2023 ) ( Learn how and when to remove this message ) A flock of starlings reacting to a predator Swarm intelligence ( SI ) is the collective behavior of decentralized , self-organized systems, natural or

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