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An analysis of intergroup rivalry using Ising model and reinforcement learning

Author

Listed:
  • Feng-Fei Zhao

    (Department of Computer Science and Technology, Tsinghua University, Beijing 100084, P. R. China;
    National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, P. R. China)

  • Zheng Qin

    (Department of Computer Science and Technology, Tsinghua University, Beijing 100084, P. R. China;
    School of Software, Tsinghua University, Beijing 100084, P. R. China)

  • Zhuo Shao

    (Department of Physics, Tsinghua University, Beijing 100084, P. R. China;
    State Key Laboratory of Low-Dimensional Quantum Physics, Tsinghua University, Beijing 100084, P. R. China)

Abstract

Modeling of intergroup rivalry can help us better understand economic competitions, political elections and other similar activities. The result of intergroup rivalry depends on the co-evolution of individual behavior within one group and the impact from the rival group. In this paper, we model the rivalry behavior using Ising model. Different from other simulation studies using Ising model, the evolution rules of each individual in our model are not static, but have the ability to learn from historical experience using reinforcement learning technique, which makes the simulation more close to real human behavior. We studied the phase transition in intergroup rivalry and focused on the impact of the degree of social freedom, the personality of group members and the social experience of individuals. The results of computer simulation show that a society with a low degree of social freedom and highly educated, experienced individuals is more likely to be one-sided in intergroup rivalry.

Suggested Citation

  • Feng-Fei Zhao & Zheng Qin & Zhuo Shao, 2014. "An analysis of intergroup rivalry using Ising model and reinforcement learning," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 25(07), pages 1-15.
    • Handle: RePEc:wsi:ijmpcx:v:25:y:2014:i:07:n:s0129183114500168
    DOI: 10.1142/S0129183114500168
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