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Mistakes can stabilise the dynamics of rock-paper-scissors games.
Kleshnina, Maria; Streipert, Sabrina S; Filar, Jerzy A; Chatterjee, Krishnendu.
Affiliation
  • Kleshnina M; Institute of Science and Technology Austria (IST Austria), Klosterneuburg, Austria.
  • Streipert SS; Department of Mathematics and Statistics, McMaster University, Hamilton, Canada.
  • Filar JA; School of Mathematics and Physics, University of Queensland, Brisbane, Australia.
  • Chatterjee K; Institute of Science and Technology Austria (IST Austria), Klosterneuburg, Austria.
PLoS Comput Biol ; 17(4): e1008523, 2021 04.
Article in En | MEDLINE | ID: mdl-33844680
ABSTRACT
A game of rock-paper-scissors is an interesting example of an interaction where none of the pure strategies strictly dominates all others, leading to a cyclic pattern. In this work, we consider an unstable version of rock-paper-scissors dynamics and allow individuals to make behavioural mistakes during the strategy execution. We show that such an assumption can break a cyclic relationship leading to a stable equilibrium emerging with only one strategy surviving. We consider two cases completely random mistakes when individuals have no bias towards any strategy and a general form of mistakes. Then, we determine conditions for a strategy to dominate all other strategies. However, given that individuals who adopt a dominating strategy are still prone to behavioural mistakes in the observed behaviour, we may still observe extinct strategies. That is, behavioural mistakes in strategy execution stabilise evolutionary dynamics leading to an evolutionary stable and, potentially, mixed co-existence equilibrium.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Game Theory Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Game Theory Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: