Optimal strategies and cost-benefit analysis of the $${\varvec{n}}$$ n -player weightlifting game

Autor: Diane Carmeliza N. Cuaresma, Erika Chiba, Jerrold M. Tubay, Jomar F. Rabajante, Maica Krizna A. Gavina, Jin Yoshimura, Hiromu Ito, Takuya Okabe, Satoru Morita
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Druh dokumentu: article
ISSN: 2045-2322
DOI: 10.1038/s41598-022-12394-z
Popis: Abstract The study of cooperation has been extensively studied in game theory. Especially, two-player two-strategy games have been categorized according to their equilibrium strategies and fully analysed. Recently, a grand unified game covering all types of two-player two-strategy games, i.e., the weightlifting game, was proposed. In the present study, we extend this two-player weightlifting game into an $$n$$ n -player game. We investigate the conditions for pure strategy Nash equilibria and for Pareto optimal strategies, expressed in terms of the success probability and benefit-to-cost ratio of the weightlifting game. We also present a general characterization of $$n$$ n -player games in terms of the proposed game. In terms of a concrete example, we present diagrams showing how the game category varies depending on the benefit-to-cost ratio. As a general rule, cooperation becomes difficult to achieve as group size increases because the success probability of weightlifting saturates towards unity. The present study provides insights into achieving behavioural cooperation in a large group by means of a cost–benefit analysis.
Databáze: Directory of Open Access Journals
Nepřihlášeným uživatelům se plný text nezobrazuje