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Published on: October 20, 2022
Evolutionary games under incompetence
Maria Kleshnina1, Jerzy A Filar2, Vladimir Ejov3
1School of Mathematics and Physics, Centre for Applications in Natural Resource Mathematics (CARM), University of Queensland, St Lucia, QLD, 4072, Australia. m.kleshnina@uq.edu.au.
Abstract:
The adaptation process of a species to a new environment is a significant area of study in biology. As part of natural selection, adaptation is a mutation process which improves survival skills and reproductive functions of species. Here, we investigate this process by combining the idea of incompetence with evolutionary game theory. In the sense of evolution, incompetence and training can be interpreted as a special learning process. With focus on the social side of the problem, we analyze the influence of incompetence on behavior of species. We introduce an incompetence parameter into a learning function in a single-population game and analyze its effect on the outcome of the replicator dynamics. Incompetence can change the outcome of the game and its dynamics, indicating its significance within what are inherently imperfect natural systems.
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