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Spread of Cooperation in Complex Agent Networks Based on Expectation of Cooperation

Part of the Lecture Notes in Computer Science book series (LNAI,volume 9862)

Abstract

This paper proposes a behavioral strategy called expectation of cooperation with which cooperation in the prisoner’s dilemma game spreads over agent networks by incorporating Q-learning. Recent advances in computer and communication technologies enable intelligent agents to operate in small and handy computers such as mobile PCs, tablet computers, and smart phones as delegates of their owners. Because the interaction of these agents is associated with social links in the real world, social behavior is to some degree required to avoid conflicts, competition, and unfairness that may lead to further inefficiency in the agent society. The proposed strategy is simple and easy to implement but nevertheless can spread over and maintain cooperation in agent networks under certain conditions. We conducted a number of experiments to clarify these conditions, and the results indicate that cooperation spread and was maintained with the proposed strategy in a variety of networks.

Keywords

  • Nash Equilibrium
  • Complete Graph
  • Cooperative Behavior
  • Cooperation Strategy
  • Public Good Game

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

T. Sugawara—This work is supported by KAKENHI (No. 25280087).

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Notes

  1. 1.

    When \(L=2.5\), the ratios increased, but the emergence speed was extremely low.

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Correspondence to Toshiharu Sugawara .

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Shibusawa, R., Otsuka, T., Sugawara, T. (2016). Spread of Cooperation in Complex Agent Networks Based on Expectation of Cooperation. In: Baldoni, M., Chopra, A., Son, T., Hirayama, K., Torroni, P. (eds) PRIMA 2016: Principles and Practice of Multi-Agent Systems. PRIMA 2016. Lecture Notes in Computer Science(), vol 9862. Springer, Cham. https://doi.org/10.1007/978-3-319-44832-9_5

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  • DOI: https://doi.org/10.1007/978-3-319-44832-9_5

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