English

Evolutionary games under incompetence

Populations and Evolution 2017-10-27 v1 Computer Science and Game Theory

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.

Keywords

Cite

@article{arxiv.1710.09499,
  title  = {Evolutionary games under incompetence},
  author = {Maria Kleshnina and Jerzy A. Filar and Vladimir Ejov and Jody C. McKerral},
  journal= {arXiv preprint arXiv:1710.09499},
  year   = {2017}
}

Comments

17 pages, 3 figures

R2 v1 2026-06-22T22:26:01.687Z