Literature DB >> 7564396

Evolution of altruism in optional and compulsory games.

J Batali1, P Kitcher.   

Abstract

In "optional" variants of the iterated prisoner's dilemma, players may choose whether or not to participate. Members of evolving populations playing optional variants of the iterated prisoner's dilemma by following inherited strategies tend to cooperate more than do members of populations playing the standard, "compulsory" version. This result is due to dynamical properties of the evolving systems: the populations playing the compulsory game can become stuck in states of low cooperation that last many generations, while the optional games provide routes out of such states to states of high cooperation. Computational simulations of the evolution of populations playing these games support these analytic results and illustrate the interactions between the genetic representation of strategies and the composition of populations in which those strategies are deployed.

Mesh:

Year:  1995        PMID: 7564396     DOI: 10.1006/jtbi.1995.0128

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


  6 in total

1.  The Evolution of Cooperation Through Institutional Incentives and Optional Participation.

Authors:  Tatsuya Sasaki
Journal:  Dyn Games Appl       Date:  2013-08-17       Impact factor: 1.075

2.  The take-it-or-leave-it option allows small penalties to overcome social dilemmas.

Authors:  Tatsuya Sasaki; Åke Brännström; Ulf Dieckmann; Karl Sigmund
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-09       Impact factor: 11.205

Review 3.  Biological trade and markets.

Authors:  Peter Hammerstein; Ronald Noë
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-02-05       Impact factor: 6.237

4.  Cooperation in the spatial prisoner's dilemma game with probabilistic abstention.

Authors:  Marcos Cardinot; Josephine Griffith; Colm O'Riordan; Matjaž Perc
Journal:  Sci Rep       Date:  2018-09-28       Impact factor: 4.379

5.  Direct reciprocity and model-predictive rationality explain network reciprocity over social ties.

Authors:  Fabio Dercole; Fabio Della Rossa; Carlo Piccardi
Journal:  Sci Rep       Date:  2019-04-01       Impact factor: 4.379

6.  Exit, punishment and rewards in commons dilemmas: an experimental study.

Authors:  Giangiacomo Bravo; Flaminio Squazzoni
Journal:  PLoS One       Date:  2013-08-01       Impact factor: 3.240

  6 in total

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