Introduction to Swarm Intelligence

•Swarm intelligence systems are typically made up of a population of simple agents interacting locally with one another and with their environment

•The agents follow very simple rules, and although there is no centralized control structure dictating how individual agents should behave, local interactions between such agents lead to the emergence of complex global behavior.

•Natural examples of SI include ant colonies, bird flocking, animal herding, bacterial growth, and fish schooling.