Effect of imitation in a competing and evolving population in different situations

Hongjun Quan and Gang Deng

Physica A: Statistical Mechanics and its Applications, 2007, vol. 377, issue 2, 625-632

Abstract: The effect of imitation in a competing and evolving population in different situations is studied. Agents in the population are repeatedly competing to be in a minority and they have a common strategy. Each agent has a parameter p characterizing the probability that he is following the prediction of the common strategy. Agents are lined up in a one-dimensional chain with periodic boundary condition. Imitation is allowed among nearest neighboring agents. Numerical results show that the phase transition appears, when the prize-to-fine ratio R is smaller than a given value, the strategy distribution of the population turns into a symmetric, inverted U shape. Consequently, imitation is harmful in a sense of enhancement in the overall performance of the population.

Keywords: Game theory; Self-organization; Evolution; Phase transition (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437106012829
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

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:eee:phsmap:v:377:y:2007:i:2:p:625-632

DOI: 10.1016/j.physa.2006.11.060

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().