Literature DB >> 35589925

Optimal strategies and cost-benefit analysis of the [Formula: see text]-player weightlifting game.

Diane Carmeliza N Cuaresma1,2, Erika Chiba3, Jerrold M Tubay4, Jomar F Rabajante4, Maica Krizna A Gavina4, Jin Yoshimura5,6,7,8, Hiromu Ito6, Takuya Okabe9, Satoru Morita10.   

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 [Formula: see text]-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 [Formula: see text]-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.
© 2022. The Author(s).

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Year:  2022        PMID: 35589925      PMCID: PMC9120137          DOI: 10.1038/s41598-022-12394-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.996


  18 in total

1.  Group decision-making in animals.

Authors:  L Conradt; T J Roper
Journal:  Nature       Date:  2003-01-09       Impact factor: 49.962

2.  Relationship between dilemma occurrence and the existence of a weakly dominant strategy in a two-player symmetric game.

Authors:  Jun Tanimoto; Hiroki Sagara
Journal:  Biosystems       Date:  2006-07-16       Impact factor: 1.973

Review 3.  Universal scaling for the dilemma strength in evolutionary games.

Authors:  Zhen Wang; Satoshi Kokubo; Marko Jusup; Jun Tanimoto
Journal:  Phys Life Rev       Date:  2015-05-05       Impact factor: 11.025

4.  The evolution of reciprocity in sizable groups.

Authors:  R Boyd; P J Richerson
Journal:  J Theor Biol       Date:  1988-06-07       Impact factor: 2.691

Review 5.  Human cooperation.

Authors:  David G Rand; Martin A Nowak
Journal:  Trends Cogn Sci       Date:  2013-07-13       Impact factor: 20.229

6.  Evolutionary dynamics of N-person Hawk-Dove games.

Authors:  Wei Chen; Carlos Gracia-Lázaro; Zhiwu Li; Long Wang; Yamir Moreno
Journal:  Sci Rep       Date:  2017-07-06       Impact factor: 4.379

7.  Scaling the phase-planes of social dilemma strengths shows game-class changes in the five rules governing the evolution of cooperation.

Authors:  Hiromu Ito; Jun Tanimoto
Journal:  R Soc Open Sci       Date:  2018-10-17       Impact factor: 2.963

8.  Conditional cooperation in group contests.

Authors:  Hubert János Kiss; Alfonso Rosa-Garcia; Vita Zhukova
Journal:  PLoS One       Date:  2020-12-23       Impact factor: 3.240

9.  Improving environment drives dynamical change in social game structure.

Authors:  Erika Chiba; Diane Carmeliza N Cuaresma; Jomar F Rabajante; Jerrold M Tubay; Maica Krizna Areja Gavina; Tatsuki Yamamoto; Jin Yoshimura; Satoru Morita; Hiromu Ito; Takuya Okabe
Journal:  R Soc Open Sci       Date:  2021-05-05       Impact factor: 2.963

10.  An Extended N-Player Network Game and Simulation of Four Investment Strategies on a Complex Innovation Network.

Authors:  Wen Zhou; Nikita Koptyug; Shutao Ye; Yifan Jia; Xiaolong Lu
Journal:  PLoS One       Date:  2016-01-08       Impact factor: 3.240

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