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Evolutionary games under incompetence.
Kleshnina, Maria; Filar, Jerzy A; Ejov, Vladimir; McKerral, Jody C.
Afiliação
  • Kleshnina M; School 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.
  • Filar JA; School of Mathematics and Physics, Centre for Applications in Natural Resource Mathematics (CARM), University of Queensland, St Lucia, QLD, 4072, Australia.
  • Ejov V; School of Computer Science, Engineering and Mathematics, Flinders University, Adelaide, SA, 5001, Australia.
  • McKerral JC; School of Computer Science, Engineering and Mathematics, Flinders University, Adelaide, SA, 5001, Australia.
J Math Biol ; 77(3): 627-646, 2018 09.
Article em En | MEDLINE | ID: mdl-29484454
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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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Evolução Biológica / Teoria dos Jogos / Modelos Genéticos Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Evolução Biológica / Teoria dos Jogos / Modelos Genéticos Idioma: En Ano de publicação: 2018 Tipo de documento: Article