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Evolutionary Minority Game with searching behavior

Author

Listed:
  • Zhang, Wei
  • Sun, Yuxin
  • Feng, Xu
  • Xiong, Xiong

Abstract

In this paper, we determine the impact of searching behavior on the evolutionary minority game (EMG). We introduce searching behavior in two ways: optimal neighbor searching and global searching. Our study investigates the distribution equilibriums of probabilities that agents follow a given strategy and on system performance of the game. The results indicate that the distribution equilibriums of the probabilities are different with searching behavior, as opposed to without searching behavior. The system performance becomes worse after adding the searching behavior. Additionally, we test other variables in a standard EMG with and without searching behavior.

Suggested Citation

  • Zhang, Wei & Sun, Yuxin & Feng, Xu & Xiong, Xiong, 2015. "Evolutionary Minority Game with searching behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 694-706.
    • Handle: RePEc:eee:phsmap:v:436:y:2015:i:c:p:694-706
    DOI: 10.1016/j.physa.2015.05.096
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    References listed on IDEAS

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    1. Giorgio Fagiolo & Luigi Marengo & Marco Valente, 2004. "Endogenous Networks In Random Population Games," Mathematical Population Studies, Taylor & Francis Journals, vol. 11(2), pages 121-147.
    2. Franke, Reiner, 2003. "Reinforcement learning in the El Farol model," Journal of Economic Behavior & Organization, Elsevier, vol. 51(3), pages 367-388, July.
    3. Quan, Hong-Jun & Wang, Bing-Hong & Hui, P.M. & Luo, Xiao-Shu, 2003. "Self-segregation and enhanced cooperation in an evolving population through local information transmission," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 321(1), pages 300-308.
    4. Giorgio Fagiolo & Marco Valente, 2005. "Minority Games, Local Interactions, and Endogenous Networks," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 41-57, February.
    5. Metzler, Richard & Horn, Christian, 2003. "Evolutionary minority games: the benefits of imitation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 329(3), pages 484-498.
    6. Shang, Lihui & Wang, Xiao Fan, 2007. "Evolutionary minority game on complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(2), pages 616-624.
    7. Shu-Heng Chen & Umberto Gostoli, 2017. "Coordination in the El Farol Bar problem: The role of social preferences and social networks," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(1), pages 59-93, April.
    8. Burgos, E. & Ceva, Horacio & Perazzo, R.P.J., 2004. "The evolutionary minority game with local coordination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 337(3), pages 635-644.
    9. Lo, T.S & Lim, S.W & Hui, P.M & Johnson, N.F, 2000. "Evolutionary minority game with heterogeneous strategy distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(1), pages 313-320.
    10. Kirley, Michael, 2006. "Evolutionary minority games with small-world interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 365(2), pages 521-528.
    11. Challet, D. & Zhang, Y.-C., 1997. "Emergence of cooperation and organization in an evolutionary game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 407-418.
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