Self-Segregation versus Clustering in the Evolutionary Minority Game
- 23 May 2002
- journal article
- Published by American Physical Society (APS) in Physical Review Letters
- Vol. 88 (23) , 238702
- https://doi.org/10.1103/physrevlett.88.238702
Abstract
Complex adaptive systems have been the subject of much recent attention. It is by now well established that members ("agents") tend to self-segregate into opposing groups characterized by extreme behavior. However, the study of such adaptive systems has mostly been restricted to simple situations in which the prize-to-fine ratio R equals unity. In this Letter we explore the dynamics of evolving populations with various different values of the ratio R, and demonstrate that extreme behavior is in fact not a generic feature of adaptive systems. In particular, we show that "confusion" and "indecisiveness" take over in times of depression, in which case cautious agents perform better than extreme ones.Keywords
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This publication has 9 references indexed in Scilit:
- Self organization in a minority game: the rôle of memory and a probabilistic approachPhysica A: Statistical Mechanics and its Applications, 2000
- Theory of the evolutionary minority gamePhysical Review E, 2000
- Self-organization, resources and strategies in a minority gamePhysica A: Statistical Mechanics and its Applications, 2000
- The Hamming distance in the minority gamePhysica A: Statistical Mechanics and its Applications, 1999
- Self-Organized Segregation within an Evolving PopulationPhysical Review Letters, 1999
- Adaptive Competition, Market Efficiency, and Phase TransitionsPhysical Review Letters, 1999
- On the minority game: Analytical and numerical studiesPhysica A: Statistical Mechanics and its Applications, 1998
- Emergence of cooperation and organization in an evolutionary gamePhysica A: Statistical Mechanics and its Applications, 1997
- Social Dilemmas and Internet CongestionScience, 1997