On the Emergence of Intelligent Global Behaviors from Simple Local Actions

Artificial Intelligence focuses on the question of how to design systems to exhibit intelligent behaviour in complex environments. Complex global behaviours can emerge from simple systems acting in a complex environment; however, this emergence requires that the systems’ internal structure reflect essential structures in the environment. This paper examines the algebraic structure of a system’s actions. We find that these actions often possess a self-similar local neighborhood structure that permits analysis and synthesis to be performed locally yet produce global, intelligent behaviours. A procedure for finding this local structure is presented, and illustrated with examples.