Evolving cooperative actions among heterogeneous agents by an evolutionary programming method

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Abstract

We studied a baggage carriage problem, in which agents try to carry baggage from a pile to their base, evolving a data structure, called n-BDD, expressing action strategy of the agents. Through this problem we consider emergence of cooperation among heterogeneous agents, or each agent has a particular ability, which is different each other. We formalize heterogeneity by defining forte actions and foible actions of agents. Emergence of cooperation was observed by simulation. Different types of agents are emerged to behave different way. We also observed that agents in a type branch to have two different roles.

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Fujinaga, T., Moriwaki, K., Inuzuka, N., & Itoh, H. (1999). Evolving cooperative actions among heterogeneous agents by an evolutionary programming method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1585, pp. 231–239). Springer Verlag. https://doi.org/10.1007/3-540-48873-1_31

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