2015
DOI: 10.1073/pnas.1418745112
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Stochastic game dynamics under demographic fluctuations

Abstract: Frequency-dependent selection and demographic fluctuations play important roles in evolutionary and ecological processes. Under frequency-dependent selection, the average fitness of the population may increase or decrease based on interactions between individuals within the population. This should be reflected in fluctuations of the population size even in constant environments. Here, we propose a stochastic model that naturally combines these two evolutionary ingredients by assuming frequency-dependent compet… Show more

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Cited by 115 publications
(133 citation statements)
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“…Nevertheless, most game theoretic models have the limitation that they are based on ad hoc fitness functions, which are usually not derived from underlying birth-death processes (for an exception see e.g. Traulsen et al (2005) and Huang et al (2015), who derive deterministic game dynamics from underlying stochastic processes in finite populations). In principle, to justify the use of fitness in a particular scenario, one needs to first determine the evolutionary birth-death process describing that scenario, and then argue that this evolutionary process admits a fitness function that determines the dynamics of the process.…”
Section: Fitness and Optimalitymentioning
confidence: 99%
“…Nevertheless, most game theoretic models have the limitation that they are based on ad hoc fitness functions, which are usually not derived from underlying birth-death processes (for an exception see e.g. Traulsen et al (2005) and Huang et al (2015), who derive deterministic game dynamics from underlying stochastic processes in finite populations). In principle, to justify the use of fitness in a particular scenario, one needs to first determine the evolutionary birth-death process describing that scenario, and then argue that this evolutionary process admits a fitness function that determines the dynamics of the process.…”
Section: Fitness and Optimalitymentioning
confidence: 99%
“…Hauert et al [10,11] originally formulated this modelling framework in order to incorporate ecological dynamics into the study of public goods evolution [18][19][20][21][22][23][24][25]. In the Public Goods Game, a finite number of N players come together to form an interaction group.…”
Section: Resultsmentioning
confidence: 99%
“…Seasonal variation can affect the epidemiology of important vector borne diseases and could have triggered the evolution of plastic transmission strategies that match the temporally varying density of mosquitoes [103]. Even the interaction patterns themselves can be stochastic, furthermore complicating the population dynamics [104]. Comparisons between data and predictions, which account for such complications, reflects a recent trend in experimental studies [21,105].…”
Section: Fig 6 Eco-evolutionary Dynamics Under Environmental Fluctumentioning
confidence: 99%