A study of evolutionary multiagent models based on symbiosis

@article{Eguchi2006ASO,
  title={A study of evolutionary multiagent models based on symbiosis},
  author={Toru Eguchi and Kotaro Hirasawa and Jinglu Hu and Nathan Ota},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
  year={2006},
  volume={36},
  pages={179-193}
}
Multiagent Systems with Symbiotic Learning and Evolution (Masbiole) has been proposed and studied, which is a new methodology of Multiagent Systems (MAS) based on symbiosis in the ecosystem. Masbiole employs a method of symbiotic learning and evolution where agents can learn or evolve according to their symbiotic relations toward others, i.e., considering the benefits/losses of both itself and an opponent. As a result, Masbiole can escape from Nash Equilibria and obtain better performances than… CONTINUE READING
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