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Collective Behavior Of El Farol Attendees

Author

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  • CANAN ATILGAN

    (School of Engineering and Natural Sciences, Sabanci University, Tuzla 34956 Istanbul, Turkey)

  • ALI RANA ATILGAN

    (School of Engineering and Natural Sciences, Sabanci University, Tuzla 34956 Istanbul, Turkey)

  • GÜVEN DEMIREL

    (Department of Industrial Engineering, Bogazici University, Bebek 34342, Istanbul, Turkey)

Abstract

Arthur's paradigm of the El Farol bar for modeling bounded rationality and inductive behavior is employed. Manipulating the memory horizon available to the agents and the selection criteria they utilize for prediction algorithms, one can maneuver the mean attendance away from the externally provided threshold. We observe that a transition occurs in the attendance distribution at a critical memory, beyond which a larger part of the crowd becomes more comfortable. Agents' confidence in their algorithms and the delayed feedback of attendance data increase the overall collectivity of the system behavior. It is possible to manipulate the time evolution of the attendance either externally, by providing past data with delay, or internally, if agents postpone algorithm modification upon failure.

Suggested Citation

  • Canan Atilgan & Ali Rana Atilgan & Güven Demirel, 2008. "Collective Behavior Of El Farol Attendees," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(04), pages 629-639.
    • Handle: RePEc:wsi:acsxxx:v:11:y:2008:i:04:n:s0219525908001829
    DOI: 10.1142/S0219525908001829
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    References listed on IDEAS

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    1. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
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    1. 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.

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