2017
DOI: 10.2139/ssrn.3077467
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Evolutionary Game Theory: A Renaissance

Abstract: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz … Show more

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Cited by 23 publications
(31 citation statements)
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“…Our results thus address a criticism of the literature on preference evolution, according to which it con ‡ates revealed preferences with preferences that drive choice, see, e.g. Newton (2018).…”
Section: Resultssupporting
confidence: 68%
See 1 more Smart Citation
“…Our results thus address a criticism of the literature on preference evolution, according to which it con ‡ates revealed preferences with preferences that drive choice, see, e.g. Newton (2018).…”
Section: Resultssupporting
confidence: 68%
“…1 If preferences are transmitted across generations and if they a¤ect the expected survival and reproduction-the …tness-of their bearer: which preferences are likely to be favored by evolution and which preferences are likely to disappear? Analysis of the long-term evolution of preference distributions can help understand the proximate drivers and motivation of human behavior in social and economic interactions (Hirshleifer, 1977, Bergstrom, 1996, Binmore 1998, Robson, 2001, Newton, 2018, Alger and Weibull, 2019. Here we build on previous work on strategy evolution in structured populations (Lehmann, Alger, and Weibull, 2015) by studying preference evolution in such populations.…”
Section: Introductionmentioning
confidence: 99%
“…Describing conditions for the emergence of cooperation in structured populations is a fundamental problem in evolutionary game theory [4,19,20,35]. In structured populations the network describing which players interact with each other may be crucial for the fixation of a strategy.…”
Section: Introductionmentioning
confidence: 99%
“…2 For applications of stochastic evolutionary game theory in cooperative settings, see Agastya (1999), Jackson and Watts (2002), Arnold and Schwalbe (2002), Klaus et al (2010), Newton (2012), Sawa (2014), Newton and Sawa (2015), Nax and Pradelski (2015), Boncinelli and Pin (2018), and Bilancini et al (2019). See also Section 2 of Newton (2018). that stochastic evolutionary theory mitigates the indeterminacy problem of majority voting for multidimensional policy spaces.…”
Section: Introductionmentioning
confidence: 99%