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.
Agent based simulations Subsumption Artificial life
ABNER C.RODRIGUES NETO GUSTAVO A.LIMA DE CAMPOS JERFFESON TEIXEIRA DE SOUZA MAURO ROISENBERG VICTOR XIMENES MARQUES
Institute de Informatica e Estatistica Universidade de Federal de Santa Catarina (UFSC)-Florianopoli Departamento de Estatistica e Computacao Universidade Estadual do Ceara (UECE)-Fortaleza, CE-Brasil Institute de Biociencias Universidade de Sao Paulo (USP)-Sao Paulo, SP-Brasil
国际会议
2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)
昆明
英文
2440-2445
2008-07-12(万方平台首次上网日期,不代表论文的发表时间)