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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gang Xu Nenggang Xie Lingang Wang Chao Wang Yun Chen Ye Ye |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Mechanical Engineering, Anhui University of Technology, Ma'anshan, China (Gang Xu; Nenggang Xie; Lingang Wang; Chao Wang; Yun Chen; Ye Ye) |
| Abstract | For research on individuals' coopetition in biological systems, the author designs a Parrondo's game model of biotic population, which displays two game relations in the course of individuals' survival and evolution: (1) zero-sum game among individuals (Game A). Game A represents the interaction mechanism among individuals. In this article, game relations among individuals are defined as the following five patterns: cooperation, competition, inaction, harmony and Matthew. Survival adaptability of the five patterns are observed and studied; (2) negative sum-up game (Game B). Game B has a special structure, i.e. two branches are generated according to the divisibility relations of modulus M, and winning probabilities of the two branches differ. The computer simulation result shows that: 1) Cooperation and competition in any form is adaptive behaviour. Cooperative and competitive behaviour could convert the losing game combination into winning. The positive average population fitness represents the nature that Parrondo's paradox is counterintuitive. The population totally composed of inactive individuals will be eliminated by nature, hence its negative average fitness. 2) Social efficiency of the harmony pattern is not high, and its average population fitness is relatively low but fair, with high survival rate and balanced distribution of individual fitness. 3) The Matthew pattern brings extreme imbalance in the distribution of individual fitness among the population, resulting in the Matthew Effect of “the rich get richer and the poor get poorer”. And the population survival rate of this pattern is lower. |
| Starting Page | 3151 |
| Ending Page | 3155 |
| File Size | 315821 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424459582 |
| e-ISBN | 9781424459612 |
| DOI | 10.1109/ICNC.2010.5584460 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Chaos Analytical models game Evolution (biology) Biological system modeling Computational modeling fitness Games competition Game theory Parrondo's paradox cooperation |
| Content Type | Text |
| Resource Type | Article |
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