An evolutionary game with environmental feedback and players' opinions
E. M. Lorits, E. A. Gubar

TL;DR
This paper introduces a hierarchical evolutionary game model that incorporates environmental feedback and agents' opinions, analyzing how changes in one component influence the entire system through computational simulations.
Contribution
It develops a novel hierarchical model of evolutionary games that integrates environmental feedback and opinion dynamics, with computational methods and experiments.
Findings
System parameters influence population and environmental states
Environmental feedback affects agents' opinions and strategies
Numerical experiments demonstrate system behavior under various scenarios
Abstract
Evolutionary games are a developing sub-field of game theory. This branch of game theory is used in the study of the adaptation of large, but finite, populations of agents to changes in the environment. It assumes that each agent has no significant influence on the system. Many scientific areas use the theory of evolutionary games. In particular, it is used in biology, medicine and the modelling of wireless networks. In this paper we study an evolutionary game with two levels of interaction between population agents. At the first level, changes in the population state depend on changes in the environment and on increasing or decreasing the resources available to the agents. At the second level, the populations state changes according to how the agents evaluate the state of the environment. These levels form a hierarchical structure. A change in one parameter of the system, which is…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Evolution and Genetic Dynamics · Mathematical and Theoretical Epidemiology and Ecology Models
