FROM SWARM TO SOCIAL BEHAVIOR CONTROL

Abstract

Swarm behavior is a key issue in the current investigation of complexity. It have been studied by many biologists and physicists. Using artificial life etc., it has been revealed by computer scientists that some simple moving rule of agents may cause certain optimal behaviors, which are called immergence. A challenging problem in complexity is the mathematical modeling of such swarm behaviors and its application to the control of social behavior in artificial world, such as group of robots, traffic flow, team of flights etc. The purpose of this paper is to provide a survey on the current development of the investigation on modeling of swarm behavior and its applications to the control of social behaviors.