Competition and mutualism in a simulation of adaptive artificial organisms

In the field of artificial life, evolutionary programming like genetic programming is a well known approach to the “central place food foraging” problem of artificial organisms. In most of these approaches, the organisms follow the same strategy. In this paper, an artificial organism is modeled with a classifier system, and the process of acquiring cooperative behavior is simulated by putting different kinds of organisms in an area. In the experiments, it is observed that one type of organism cooperates with another type of organism to protect their lives