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Maximize personal gain in the minority game

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  • Liu, Ching
  • Liaw, Sy-Sang

Abstract

In standard minority game, each agent at every time step chooses the highest-score strategy from his limited number of strategies given arbitrarily in the beginning of the game. Suppose one agent is free to choose any strategy at every time step, how can he manage to maximize his personal gain? Based on the behavior of the standard game, we found a strategy for the agent to score more than the others do for most of the cases.

Suggested Citation

  • Liu, Ching & Liaw, Sy-Sang, 2006. "Maximize personal gain in the minority game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 516-524.
    • Handle: RePEc:eee:phsmap:v:360:y:2006:i:2:p:516-524
    DOI: 10.1016/j.physa.2005.06.091
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    References listed on IDEAS

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    1. Liaw, Sy-Sang & Liu, Ching, 2005. "The quasi-periodic time sequence of the population in minority game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 351(2), pages 571-579.
    2. Zheng, Dafang & Wang, Bing-Hong, 2001. "Statistical properties of the attendance time series in the minority game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 301(1), pages 560-566.
    3. 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.
    4. Manuca, Radu & Li, Yi & Riolo, Rick & Savit, Robert, 2000. "The structure of adaptive competition in minority games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 282(3), pages 559-608.
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    Cited by:

    1. Lustosa, Bernardo C. & Cajueiro, Daniel O., 2010. "Constrained information minority game: How was the night at El Farol?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(6), pages 1230-1238.
    2. Mello, Bernardo A. & Cajueiro, Daniel O., 2008. "Minority games, diversity, cooperativity and the concept of intelligence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(2), pages 557-566.

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