Bikas K. Chakrabarti*, Arnab Chatterjee, Asim Ghosh, Sudip Mukherjee, Boaz Tamir

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review


Collective learning in the context of binary choice for a community sharing past knowledge and intending to be in the minority choice side in successive attempts had been modeled by Arthur [6]. The model, called El Farol Bar problems, is defined as follows: A fixed number of people want to go to the Bar in every Thursday evening (special musical attraction). However the bar is small, and it is no fun to go there when it is too crowded. The preferences of the population are described as follows: If ‘less than 60\% of the population’ go to the bar, people coming to the bar would feel better than if they stayed at home. If more than that fraction of population go to the bar, they would feel uncomfortable and would repent that they did not stay back at home. Everyone has to decide ‘at the same time’ on each Thursday evening, whether he or she will go to the bar or not; they cannot of course wait to see how many others intend go to the bar before deciding to go himself or herself on every Thursday evening.

Original languageEnglish
Title of host publicationEconophysics of the Kolkata Restaurant Problem and Related Games
Subtitle of host publicationClassical and Quantum Strategies for Multi-agent, Multi-choice Repetitive Games
Number of pages6
ISBN (Electronic)9783319613512
Publication statusPublished - 1 Jan 2017
MoE publication typeA3 Book section, Chapters in research books

Publication series

NameNew Economic Windows
ISSN (Print)2039-411X


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