Abstract
The goal of this paper is to study the classical hawk-dove model using mixed spatial evolutionary games (MSEG). In these games, played on a lattice, an additional spatial layer is introduced for dependence on more complex parameters and simulation of changes in the environment. Furthermore, diverse polymorphic equilibrium points dependent on cell reproduction, model parameters, and their simulation are discussed. Our analysis demonstrates the sensitivity properties of MSEGs and possibilities for further development. We discuss applications of MSEGs, particularly algorithms for modelling cell interactions during the development of tumours.
| Original language | English |
|---|---|
| Pages (from-to) | 315-327 |
| Number of pages | 13 |
| Journal | Computers in Biology and Medicine |
| Volume | 69 |
| DOIs | |
| Publication status | Published - 1 Feb 2016 |
Keywords
- Biomathematical modeling
- Cellular automata
- Evolutionary games
- Polymorphism
- Sensitivity
ASJC Scopus subject areas
- Computer Science Applications
- Health Informatics
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