Autonomous agents and subsumption as models for simulations of population dynamics

This paper considers the use of notions about autonomous agents in the conception of models of Artificial Life to simulate various population dynamics in natural and artificial environments. It materializes the characteristic behaviors of the agents in populations by means of the Subsumption architecture. A first model was programmed aiming to simulate the sympatric speciation by means of sexual election, demonstrating as the interaction of the various individuals results in an emergent standard of space segregation. The results had demonstrated that the approach is adequate and that it can be adapted aiming to prove others hypotheses.