1991
DOI: 10.1016/s0022-5193(05)80358-3
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Co-operation and defection: Playing the field and the ESS

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Cited by 76 publications
(114 citation statements)
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“…For example, defending a resource against a common intruder can reduce social conflict even if group sizes increase [82]. Group size is also essential in foraging [83] and variations may promote more egalitarian outcomes in the tragedy of the commune [84,85].…”
Section: Fig 6 Eco-evolutionary Dynamics Under Environmental Fluctumentioning
confidence: 99%
“…For example, defending a resource against a common intruder can reduce social conflict even if group sizes increase [82]. Group size is also essential in foraging [83] and variations may promote more egalitarian outcomes in the tragedy of the commune [84,85].…”
Section: Fig 6 Eco-evolutionary Dynamics Under Environmental Fluctumentioning
confidence: 99%
“…While evolutionary models have generally assumed a linear or a step benefit function (Archetti, 2009a,b), or synergistic and saturating benefits (Motro, 1991;Hauert et al, 2006), games with more complex non-linear benefits, such as the benefits likely to arise in the case of glycolysis, cannot be solved using current standard methods. As a result, while we have some intuition of the results for sigmoid benefits Scheuring, 2011, 2012) a full analytical account of the problem of non-linear public goods has been so far beyond the reach of evolutionary game theory (but see Archetti, 2013).…”
Section: Glycolysis As a Public Goods Gamementioning
confidence: 99%
“…As shown in the vast literature on nonlinear public goods games (e.g., Dugatkin, 1990;Motro, 1991;Bach et al, 2006;Hauert et al, 2006;Cuesta et al, 2008;Pacheco et al, 2009;Archetti and Scheuring, 2011) cooperative behavior may arise in the evolutionary solution of such games even when other mechanisms potentially promoting cooperation such as relatedness (Eshel and Motro, 1988;Archetti, 2009;Peña et al, 2015) and reciprocity in repeated interactions (Boyd and Richerson, 1988;Hilbe et al, 2014) are absent.…”
Section: Introductionmentioning
confidence: 99%
“…First, we build on results obtained in Motro (1991) and Peña et al (2014) to identify conditions on the payoff structure of the game which are sufficient to infer those shape properties of the gain function that are required to identify the variability effects we are interested in (Lemmas 1 and 2). These results dispense with the need to explicitly calculate the gain function (i.e., the difference in expected payoff between the two strategies) whenever the payoff structure of the game satisfies the relevant conditions.…”
Section: Introductionmentioning
confidence: 99%
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