Social mobility and network reciprocity shape cooperation in collaborative networks

Chaos Solitons & Fractals, Год журнала: 2023, Номер 170, С. 113378 - 113378

Опубликована: Март 23, 2023

Язык: Английский

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Catalyst strategy for the evolution of cooperation in indirect reciprocity

Applied Mathematics and Computation, Год журнала: 2025, Номер 497, С. 129379 - 129379

Опубликована: Фев. 27, 2025

Язык: Английский

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Preferential selection based on adaptive attractiveness induce by reinforcement learning promotes cooperation

Chaos Solitons & Fractals, Год журнала: 2024, Номер 180, С. 114592 - 114592

Опубликована: Фев. 11, 2024

Язык: Английский

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Emergence of anti-coordinated patterns in snowdrift game by reinforcement learning

Chaos Solitons & Fractals, Год журнала: 2024, Номер 184, С. 114971 - 114971

Опубликована: Май 15, 2024

Язык: Английский

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Cooperative behavior under the influence of multiple experienced guiders in Prisoner’s dilemma game

Applied Mathematics and Computation, Год журнала: 2023, Номер 458, С. 128234 - 128234

Опубликована: Июль 14, 2023

Язык: Английский

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Evolutionary dynamics with the second-order reputation in the networked N-player trust game

Chaos Solitons & Fractals, Год журнала: 2023, Номер 175, С. 114042 - 114042

Опубликована: Сен. 22, 2023

Язык: Английский

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Co-evolution of synchronization and cooperation with multi-agent Q-learning

Chaos An Interdisciplinary Journal of Nonlinear Science, Год журнала: 2023, Номер 33(3)

Опубликована: Март 1, 2023

Cooperation is a widespread phenomenon in human society and plays significant role achieving synchronization of various systems. However, there has been limited progress studying the co-evolution cooperation. In this manuscript, we investigate how reinforcement learning affects evolution Namely, payoff an agent depends not only on cooperation dynamic but also dynamic. Agents have option to either cooperate or defect. While promotes among agents, defection does not. We report that feature, which indicates action switching frequency during interactions, synchronization. find are mutually reinforcing. Furthermore, thoroughly analyze potential reasons for promotion due feature from both macro- microperspectives. Additionally, conduct experiments illustrate differences synchronization-promoting effects features.

Язык: Английский

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Effect of mixed random and directional migration on cooperation in the spatial prisoner’s dilemma

Chaos Solitons & Fractals, Год журнала: 2023, Номер 172, С. 113540 - 113540

Опубликована: Май 20, 2023

Язык: Английский

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Rewarding policies in an asymmetric game for sustainable tourism

Applied Mathematics and Computation, Год журнала: 2023, Номер 457, С. 128183 - 128183

Опубликована: Июнь 15, 2023

Tourism is a growing sector worldwide, but many popular destinations are facing sustainability problems due to excessive tourist flows and inappropriate behavior. In these areas, there an urgent need apply mechanisms stimulate sustainable practices. This paper studies the most efficient strategy incentivize tourism by using asymmetric evolutionary game. We analyze application of rewarding policies game where tourists stakeholders interact in spatial lattice, can also migrate. The incentives have economic budget which be allocated tourists, stakeholders, or both sub-populations. results show that adaptive strategy, incentive changes over time one other sub-population, more effective than simple strategies exclusively focused on sub-population. However, when population density decreases, just becomes strategy.

Язык: Английский

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Evolutionary game theory and simulations based on doctor and patient medical malpractice

PLoS ONE, Год журнала: 2023, Номер 18(3), С. e0282434 - e0282434

Опубликована: Март 29, 2023

Doctors and patients are the two critical players in medical malpractice. The evolutionary game model of doctors is constructed based on information asymmetry bounded rationality. strategy selection problem malpractice process was studied. With change different parameters, equilibrium demonstrated using Vensim simulation. results show that weight, penalty amount, benefits standardized practices, patient alarm cost strategies key factors affecting doctor-patient system. Medical can be reduced by adjusting weight choices, increasing penalties for illegal standardizing costs doctors' practice income. Measures to effectively resolve proposed introducing a third-party normative system, establishing management improving reward punishment mechanisms.

Язык: Английский

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