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  1. Computational and Mathematical Organization Theory
  2. Computational and Mathematical Organization Theory : Volume 5
  3. Computational and Mathematical Organization Theory : Volume 5, Issue 1, May 1999
  4. Competition Among Conventions
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Computational and Mathematical Organization Theory : Volume 23
Computational and Mathematical Organization Theory : Volume 22
Computational and Mathematical Organization Theory : Volume 21
Computational and Mathematical Organization Theory : Volume 20
Computational and Mathematical Organization Theory : Volume 19
Computational and Mathematical Organization Theory : Volume 18
Computational and Mathematical Organization Theory : Volume 17
Computational and Mathematical Organization Theory : Volume 16
Computational and Mathematical Organization Theory : Volume 15
Computational and Mathematical Organization Theory : Volume 14
Computational and Mathematical Organization Theory : Volume 13
Computational and Mathematical Organization Theory : Volume 12
Computational and Mathematical Organization Theory : Volume 11
Computational and Mathematical Organization Theory : Volume 10
Computational and Mathematical Organization Theory : Volume 9
Computational and Mathematical Organization Theory : Volume 8
Computational and Mathematical Organization Theory : Volume 7
Computational and Mathematical Organization Theory : Volume 6
Computational and Mathematical Organization Theory : Volume 5
Computational and Mathematical Organization Theory : Volume 5, Issue 4, December 1999
Computational and Mathematical Organization Theory : Volume 5, Issue 3, October 1999
Computational and Mathematical Organization Theory : Volume 5, Issue 2, July 1999
Computational and Mathematical Organization Theory : Volume 5, Issue 1, May 1999
The Stability of Self-Organized Rule-Following Work Teams
Competition Among Conventions
The Inequality Between Two Distributions: Applications to the Analysis of Diversity Data
Computational and Mathematical Organization Theory : Volume 4
Computational and Mathematical Organization Theory : Volume 3

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Competition Among Conventions

Content Provider SpringerLink
Author Oechssler, J&00F6rg
Copyright Year 1999
Abstract A convention can be seen as a way of resolving a coordination problem. If different conventions exist in various geographical, social or other entities (called &201C;groups&201D;) and if there is some mobility between these groups, which conventions, if any, will emerge as the successful ones? A simple evolutionary process is suggested and it is shown that the process converges to a Nash equilibrium for all games satisfying weak acyclity. Further, if the process converges, it converges to an efficient convention for all games in which the Pareto optimal symmetric equilibria are strict. Hence, the paper presents an explanation for the endogenous evolution of efficiency. In contrast to most recent studies in evolutionary game theory, the conclusions do not rely on random &201C;mutations&201D;. Instead, the driving force is the tendency of players to have increased interaction with member of their own group (viscosity).
Starting Page 31
Ending Page 44
Page Count 14
File Format PDF
ISSN 1381298X
Journal Computational and Mathematical Organization Theory
Volume Number 5
Issue Number 1
e-ISSN 15729346
Language English
Publisher Kluwer Academic Publishers
Publisher Date 1999-01-01
Publisher Place Boston
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Artificial Intelligence (incl. Robotics) Management Operation Research/Decision Theory Methodology of the Social Sciences Sociology
Content Type Text
Resource Type Article
Subject Applied Mathematics Computer Science Decision Sciences Computational Mathematics Modeling and Simulation
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