The evolution of conventions under incomplete information
Mogens Jensen,
Birgitte Sloth () and
Hans Whitta-Jacobsen
Economic Theory, 2005, vol. 25, issue 1, 185 pages
Abstract:
We formulate an evolutionary learning process with trembles for static games of incomplete information. For many games, if the amount of trembling is small, play will be in accordance with the games’ (strict) Bayesian equilibria most of the time. This supports the notion of Bayesian equilibrium. Often the process will select a specific equilibrium. We study an extension to incomplete information of the prototype conflict known as “Chicken” and find that the equilibrium selection by evolutionary learning may well be in favor of inefficient Bayesian equilibria where some types of players fail to coordinate. Copyright Springer-Verlag Berlin/Heidelberg 2005
Keywords: Static games of incomplete information; Bayesian games; Evolution; Conventions; Chicken. (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://hdl.handle.net/10.1007/s00199-003-0460-6 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: The Evolution of Conventions under Incomplete Information (2003) 
Working Paper: The Evolution of Conventions under Incomplete Information (2000) 
Working Paper: The evolution of conventions under incomplete information (2000) 
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:spr:joecth:v:25:y:2005:i:1:p:171-185
Ordering information: This journal article can be ordered from
http://www.springer. ... eory/journal/199/PS2
DOI: 10.1007/s00199-003-0460-6
Access Statistics for this article
Economic Theory is currently edited by Nichoals Yanneils
More articles in Economic Theory from Springer, Society for the Advancement of Economic Theory (SAET) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().