Literature DB >> 26416547

Fixation times in evolutionary games with the Moran and Fermi processes.

Xuesong Liu1, Qiuhui Pan2, Yibin Kang1, Mingfeng He1.   

Abstract

We combined the standard Moran and Fermi process into a mixed process with two strategies C (co-operation) and D (defection). In a well-mixed population of size N+M, N individuals have the same update mechanism as that of Moran process, while the other M individuals have the same update mechanism as that of Fermi process. We obtain the balance equations of the conditional fixation time and unconditional fixation time. What these equations are doing is to make numerical sense for all the figures. We find that the expectation values of conditional fixation times of a single co-operator are smaller than the average values of the standard Moran and Fermi process. In addition, the conditional fixation time of a single co-operator with update rule of Moran is larger than that of Fermi when the intensity of selection is sufficiently small. The simulation results show that the unconditional fixation time of a co-operator who obtains more information is smaller. In addition, the larger the difference of individuals׳ payoff, the smaller the unconditional fixation time.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  Evolution of co-operation; Evolutionary game dynamics; Fixation time; Stochastic dynamics

Mesh:

Year:  2015        PMID: 26416547     DOI: 10.1016/j.jtbi.2015.09.016

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  2 in total

1.  PredPromoter-MF(2L): A Novel Approach of Promoter Prediction Based on Multi-source Feature Fusion and Deep Forest.

Authors:  Miao Wang; Fuyi Li; Hao Wu; Quanzhong Liu; Shuqin Li
Journal:  Interdiscip Sci       Date:  2022-04-30       Impact factor: 3.492

2.  Analysis on the stochastic evolution process of low-carbon transformation for supplier groups in construction supply chain.

Authors:  Yaohong Yang; Jing Dai; Yi Zeng; Ying Liu
Journal:  PLoS One       Date:  2022-03-08       Impact factor: 3.240

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.