A CAFÉ CHOICE PROBLEM AS AN EXTENDED ARTHUR'S EL FAROL PROBLEM

Shoichiro Nakayama ()
Additional contact information
Shoichiro Nakayama: Faculty of Engineering, Kanazawa University, 2-40-20 Kodatsuno, Kanazawa 920-8667, Japan

Advances in Complex Systems (ACS), 2003, vol. 06, issue 03, 393-404

Abstract: In this study, a café choice problem, which is an extension of Arthur's El Farol problem, is formulated, and is examined by an agent-based simulation. In the café choice problem,Nagents predict a café's "congestion," and determine which café to visit. TheNagents prefer less congested cafés because they are more relaxing. The agent is assumed to know the state of congestion of only the café he visits, and he learns to predict the café's congestion. The simulation results can be summarized as follows: (i) the agent is not necessarily acquiring the correct cognition for the café's congestion, even though sufficient time goes by; (ii) the agents are bifurcated into two groups which consist of agents with cognitions that the congestion of the café they do not visit is significantly more congested than the actual congestion; and (iii) the system does not necessarily converge to a Nash equilibrium, which is a theoretical solution, when the system's structure changes.

Keywords: El Farol problem; agent-based simulation; café choice; delusion; deluded equilibrium (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525903000967
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:06:y:2003:i:03:n:s0219525903000967

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219525903000967

Access Statistics for this article

Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer

More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().