Swarm intelligence (SI) describes the collective behaviour of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence.
swarm intelligence
Artificial systems inspired by the behavior of social insects. These systems are composed of many "artificial insects" also called "agents", or they simulate their activity on a computer.
Swarm Intelligence (SI) is the property of a system whereby the collective behaviours of (unsophisticated) agents interacting locally with their environment cause coherent functional global patterns to emerge.
Several algorithms for learning use tools from evolutionary computation, such as genetic algorithms[117] and swarm intelligence.
The study of swarm intelligence is providing insights that can help humans manage complex systems, from truck routing to military robots. By Peter Miller. National Geographic Magazine (July 2007). "'Ants aren't smart,' [Deborah M.] Gordon says.
Over the last fifty years biologists have unravelled many of the mysteries surrounding social insects, and the last decade has seen an explosion of research in fields variously referred to as Collective Intelligence, Swarm Intelligence and emergent ...
 See also: Artificial intelligence, Agent, Branch, Simulation, Knowledge
  
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