Analysis and Simulations of the Rock-Paper-Scissors Game with Environmental Feedback

Jia, Susu; Kuang, Zheng; Cheng, Haihui; Meng, Xinzhu; Hayat, Tasawar; Hobiny, Aatef

doi:10.1145/3544109.3544310

Cited by 2 publications

(1 citation statement)

References 16 publications

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“…Other studies, such as [10] use RPS as an example benchmark. Most of the literature however considers evolutionary dynamics in the RPS [11,12,13]. In [12] the effects of population flow are investigated on the community of agents, while Jia et al [11] considers feedback from the environment and finds evolutionarily stable strategies.…”

Section: Introductionmentioning

confidence: 99%

Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game

Mali,

Czibula

2023

ESANN 2023 Proceesdings

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The Rock-Paper-Scissors game is a popular zero-sum game of cyclic nature, with a mixed-strategy Nash-equilibrium that has been the subject of a large number of studies and is of particular interest for economy, sociology and artificial intelligence. While there are numerous studies exploring evolutionary dynamics and learning, the overwhelming majority of these consider the game in its classical form, and two important axes with potential relevance remain unexplored. First, studies with policy-based reinforcement algorithms are lacking, and second, few existing investigations attempted to study such cyclic games with more than two players. The present work aims to address both of these matters.

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Section: Introductionmentioning

confidence: 99%

Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game

Mali,

Czibula

2023

ESANN 2023 Proceesdings

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Investigating the impact of environmental feedback on the optional prisoner’s dilemma for insights into cyclic dominance and evolution of cooperation

Fahimur Rahman Shuvo,

Kabir

2024

R. Soc. Open Sci.

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This study incorporates environmental feedback into the optional prisoner’s dilemma and rock–paper–scissors games to examine the mutual influence of eco-evolutionary outcomes and strategy dynamics. A novel game-theoretic model is developed that integrates the optional prisoner’s dilemma and rock–paper–scissors games by incorporating an environmental state variable. By adjusting feedback parameters, chaos, oscillations and coexistence are observed that surpass the usual outcomes of social dilemmas when the environment transitions between depleted and replenished states. Defection is no longer advantageous in evolution; cooperation, abstention and cyclic dominance arise. The observed transitions align with natural economics, ecology and sociology phenomena. The inclusion of abstention options and environmental feedback has a significant impact on collective outcomes when compared with conventional games. This has important implications for studying adaptation and decision-making in situations with ecological constraints.

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Analysis and Simulations of the Rock-Paper-Scissors Game with Environmental Feedback

Cited by 2 publications

References 16 publications

Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game

Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game

Investigating the impact of environmental feedback on the optional prisoner’s dilemma for insights into cyclic dominance and evolution of cooperation

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