Evolutionary games under incompetence

Maria Kleshnina, Jerzy Filar, Vladimir Ejov, Jody McKerral

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)627-646
    Number of pages20
    JournalJOURNAL OF MATHEMATICAL BIOLOGY
    Volume77
    Issue number3
    Early online date2018
    DOIs
    Publication statusPublished - 1 Sept 2018

    Keywords

    • Evolutionary game theory
    • Incompetence
    • Matrix games
    • Replicator dynamics

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