Preferential selection to promote cooperation on degree–degree correlation networks in spatial snowdrift games DOI
Lan Zhang, Changwei Huang

Applied Mathematics and Computation, Journal Year: 2023, Volume and Issue: 454, P. 128113 - 128113

Published: May 19, 2023

Language: Английский

Social mobility and network reciprocity shape cooperation in collaborative networks DOI
Wenjing Li, Zhi Chen, Jun Wang

et al.

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 170, P. 113378 - 113378

Published: March 23, 2023

Language: Английский

Citations

19
Catalyst strategy for the evolution of cooperation in indirect reciprocity DOI

Ji Quan,

Yixin Feng,

Jiacheng Nie

et al.

Applied Mathematics and Computation, Journal Year: 2025, Volume and Issue: 497, P. 129379 - 129379

Published: Feb. 27, 2025

Language: Английский

Citations

0
Preferential selection based on adaptive attractiveness induce by reinforcement learning promotes cooperation DOI

Pengzhou Bai,

Bingzhuang Qiang, Kuan Zou

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 180, P. 114592 - 114592

Published: Feb. 11, 2024

Language: Английский

Citations

3
Emergence of anti-coordinated patterns in snowdrift game by reinforcement learning DOI

Zhen-Wei Ding,

Jiqiang Zhang, Guozhong Zheng

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 184, P. 114971 - 114971

Published: May 15, 2024

Language: Английский

Citations

3
Cooperative behavior under the influence of multiple experienced guiders in Prisoner’s dilemma game DOI
Tao You, Haochun Yang, Jian Wang

et al.

Applied Mathematics and Computation, Journal Year: 2023, Volume and Issue: 458, P. 128234 - 128234

Published: July 14, 2023

Language: Английский

Citations

7
Evolutionary dynamics with the second-order reputation in the networked N-player trust game DOI
Meiling Feng, Xuezhu Li, Dawei Zhao

et al.

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 175, P. 114042 - 114042

Published: Sept. 22, 2023

Language: Английский

Citations

7
Co-evolution of synchronization and cooperation with multi-agent Q-learning DOI Open Access
Peican Zhu, Zhaoheng Cao, Chen Liu

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2023, Volume and Issue: 33(3)

Published: March 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.

Language: Английский

Citations

6
Effect of mixed random and directional migration on cooperation in the spatial prisoner’s dilemma DOI
Lan Zhang, Jianchen Pan, Changwei Huang

et al.

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 172, P. 113540 - 113540

Published: May 20, 2023

Language: Английский

Citations

6
Rewarding policies in an asymmetric game for sustainable tourism DOI Creative Commons
Manuel Chica, Juan M. Hernández, Matjaž Perc

et al.

Applied Mathematics and Computation, Journal Year: 2023, Volume and Issue: 457, P. 128183 - 128183

Published: June 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.

Language: Английский

Citations

6
Evolutionary game theory and simulations based on doctor and patient medical malpractice DOI Creative Commons
Lin Song, Yu Zhenlei, Qiang He

et al.

PLoS ONE, Journal Year: 2023, Volume and Issue: 18(3), P. e0282434 - e0282434

Published: March 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.

Language: Английский

Citations

5