COLLECTIVE BEHAVIOR OF EL FAROL ATTENDEES

Canan Atilgan, Ali Rana Atilgan () and Gãœven Demirel
Additional contact information
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
Gãœven Demirel: Department of Industrial Engineering, Bogazici University, Bebek 34342, Istanbul, Turkey

Advances in Complex Systems (ACS), 2008, vol. 11, issue 04, pages 629-639

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.

Keywords: Bounded rationality; inductive behavior; delayed feedback; agent rigidity; critical memory; attendance correlation (search for similar items in EconPapers)
Date: 2008

Downloads: (external link)
http://www.worldscinet.com/cgi-bin/details.cgi?type=pdf&id=pii:S0219525908001829 (application/pdf)
http://www.worldscinet.com/cgi-bin/details.cgi?typ ... ii:S0219525908001829 (text/html)
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: http://EconPapers.repec.org/RePEc:wsi:acsxxx:v:11:y:2008:i:04:p:629-639

Ordering information: This journal article can be ordered from

Access Statistics for this article

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

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