Issue |
Math. Model. Nat. Phenom.
Volume 11, Number 5, 2016
Bifurcations and Pattern Formation in Biological Applications
|
|
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Page(s) | 49 - 64 | |
DOI | https://doi.org/10.1051/mmnp/201611504 | |
Published online | 07 December 2016 |
Dynamical Patterns of Coexisting Strategies in a Hybrid Discrete-continuum Spatial Evolutionary Game Model
1
Division of Mathematics, University of Dundee, Dundee DD1 4HN, Scotland
2
College of Life Sciences, University of Dundee, Dundee DD1 4HN, Scotland
3
School of Mathematics and Statistics, University of St Andrews St Andrews KY16 9SS, Scotland
* Corresponding author. E-mail: tl47@st-andrews.ac.uk
We present a novel hybrid modelling framework that takes into account two aspects which have been largely neglected in previous models of spatial evolutionary games: random motion and chemotaxis. A stochastic individual-based model is used to describe the player dynamics, whereas the evolution of the chemoattractant is governed by a reaction-diffusion equation. The two models are coupled by deriving individual movement rules via the discretisa- tion of a taxis-diffusion equation which describes the evolution of the local number of players. In this framework, individuals occupying the same position can engage in a two-player game, and are awarded a payoff, in terms of reproductive fitness, according to their strategy. As an example, we let individuals play the Hawk-Dove game. Numerical simulations illustrate how random motion and chemotactic response can bring about self-generated dynamical patterns that create favourable conditions for the coexistence of hawks and doves in situations in which the two strategies cannot coexist otherwise. In this sense, our work offers a new perspective of research on spatial evolutionary games, and provides a general formalism to study the dynamics of spatially-structured populations in biological and social contexts where individual motion is likely to affect natural selection of behavioural traits.
Mathematics Subject Classification: 35Q92 / 91A80 / 92B05
Key words: spatial evolutionary games / hybrid models / random motion / chemotaxis / Hawk-Dove game / spatial patterns
© EDP Sciences, 2016
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