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ABSTRACT
Modelling the dynamics of evolutionary competing species on a physical grid is a challenging modelling problem. This paper presents a novel modelling approach for synthesizing evolutionary dynamics of competing species using a spatial game perspective. This modelling approach describes the movement of players (‘species’ in our context) across a lattice. The model is based on a payoff function which controls the move likelihood and direction of the players (‘predators’ and ‘preys’). Using simulated results, the paper provides a comparison between the spatial game model and an existing predator-prey dynamic model. Finally, a case study is performed to illustrate the application of this formalism and validate the model.
Acknowledgements
The authors would like to thank Dr. David Margolies, and Dr. James Nechols from the Department of Entomology at Kansas State University for providing the experimental data.
Disclosure statement
No potential conflict of interest was reported by the authors.