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Kolkata Restaurant Problem as a generalised El Farol Bar Problem

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  • Bikas K. Chakrabarti

Abstract

Generalisation of the El Farol bar problem to that of many bars here leads to the Kolkata restaurant problem, where the decision to go to any restaurant or not is much simpler (depending on the previous experience of course, as in the El Farol bar problem). This generalised problem can be exactly analysed in some limiting cases discussed here. The fluctuation in the restaurant service can be shown to have precisely an inverse cubic behavior, as widely seen in the stock market fluctuations.

Suggested Citation

  • Bikas K. Chakrabarti, 2007. "Kolkata Restaurant Problem as a generalised El Farol Bar Problem," Papers 0705.2098, arXiv.org.
    • Handle: RePEc:arx:papers:0705.2098
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    Cited by:

    1. Laurent Gauthier, 2022. "Extending Cliometrics to Ancient History with Complexity," Working Papers hal-03754911, HAL.
    2. Kalliopi Kastampolidou & Christos Papalitsas & Theodore Andronikos, 2022. "The Distributed Kolkata Paise Restaurant Game," Games, MDPI, vol. 13(3), pages 1-21, April.
    3. Kalliopi Kastampolidou & Christos Papalitsas & Theodore Andronikos, 2021. "DKPRG or how to succeed in the Kolkata Paise Restaurant gamevia TSP," Papers 2101.07760, arXiv.org.
    4. Chakrabarti, Anindya Sundar & Chakrabarti, Bikas K. & Chatterjee, Arnab & Mitra, Manipushpak, 2009. "The Kolkata Paise Restaurant problem and resource utilization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(12), pages 2420-2426.
    5. Vee-Liem Saw & Lock Yue Chew, 2020. "No-boarding buses: Synchronisation for efficiency," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-34, March.

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