A swarm is a collection or aggregation of similar animals that are cruising in the same direction. So why do animals swarm? It could be to migrate or forage or even for protection against enemies. So swarm can achieve things that an individual cannot.
Swarm intelligence (SI) is artificial intelligence based on the collective behavior of decentralized, self-organized systems. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.
Swarm intelligence can also be defined as “any attempt to design algorithms or distributed problem-solving devices inspired by the collective behavior of social insect colonies and other animal societies” [Bonabeau, Dorigo, Theraulaz: Swarm Intelligence]
SI systems are typically made up of a population of simple agents interacting locally with one another and with their environment. Although there is no centralized control structure dictating how individual agents should behave, local interactions between such agents lead to the emergence of global behavior. Natural examples of SI include ant colonies, bird flocking, animal herding, bacterial growth, and fish schooling.
Some of the inherent properties of swarm
• Inherent parallelism
• Stochastic nature
• Adaptivity
• Use of positive feedback
• Autocatalytic in nature
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment