Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Machine learning and inductive logic programming for multi-agent systems
Mutli-agents systems and applications
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The aim of this research is to assess the rôle of a hypothetical inherited feature (gene) promoting altruism between relatives as a factor for survival in the context of a multi-agent system simulating natural selection. Classical Darwinism and Neo-Darwinism are compared, and the principles of the latter are implemented in the system. The experiments study the factors that influence the successful propagation of altruistic behaviour in the population. The results show that the natural phenomenon of kinship-driven altruism has been successfully replicated in a multi-agent system, which implements a model of natural selection different from the one commonly used in genetic algorithms and multiagent systems, and closer to nature.