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  • 标题:A Paradoxical Evolutionary Mechanism in Stochastically Switching Environments
  • 本地全文:下载
  • 作者:Kang Hao Cheong ; Zong Xuan Tan ; Neng-gang Xie
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2016
  • 卷号:6
  • 期号:1
  • DOI:10.1038/srep34889
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:Organisms with environmental sensors that guide survival are considered more likely to be favored by natural selection if they possess more accurate sensors. In this paper, we develop a theoretical model which shows that under certain conditions of environmental stochasticity, selection actually favors sensors of lower accuracy. An analogy between this counter-intuitive phenomenon and the well-known Parrondo's paradox is suggested.
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