Cooperation evolution of dynamic interaction based on threshold in public goods game
To analyze the impact of interaction size on cooperation level and population average payoff in the public goods game with punishment, by combining Monte Carlo simulation with the characteristics of real complex interaction environments, a dynamic interaction domain model was proposed based on a coo...
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Hebei University of Science and Technology
2025-02-01
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Series: | Journal of Hebei University of Science and Technology |
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Online Access: | https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202501006?st=article_issue |
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author | Xiangyang XU Yajie LIU Jinlong MA |
author_facet | Xiangyang XU Yajie LIU Jinlong MA |
author_sort | Xiangyang XU |
collection | DOAJ |
description | To analyze the impact of interaction size on cooperation level and population average payoff in the public goods game with punishment, by combining Monte Carlo simulation with the characteristics of real complex interaction environments, a dynamic interaction domain model was proposed based on a cooperation threshold. First, a dynamic interaction rule based on the cooperation threshold is designed, taking into account the characteristics of different numbers of cooperators in the game group. Secondly, simulation experiments are conducted to observe the evolution of cooperation level, population payoff, and interaction domain range in the public goods game model after incorporating the interaction domain update rule. Finally, we compare the effects of the traditional and new models on the evolution of cooperation under different parameter values and discuss the principles and effectiveness of the model. Extensive simulation experiments have validated that increasing the cooperation threshold or the variation parameter more efficaciously fosters cooperation and enhances the population's average payoff.This provides a new perspective for the study of public goods game in dynamic interactive environment. |
format | Article |
id | doaj-art-ffc6413226cd40d6b146cbb6eabf1f4e |
institution | Kabale University |
issn | 1008-1542 |
language | zho |
publishDate | 2025-02-01 |
publisher | Hebei University of Science and Technology |
record_format | Article |
series | Journal of Hebei University of Science and Technology |
spelling | doaj-art-ffc6413226cd40d6b146cbb6eabf1f4e2025-01-17T06:48:06ZzhoHebei University of Science and TechnologyJournal of Hebei University of Science and Technology1008-15422025-02-01461495910.7535/hbkd.2025yx01006b202501006Cooperation evolution of dynamic interaction based on threshold in public goods gameXiangyang XU0Yajie LIU1Jinlong MA2School of Information Science and Engineering, Hebei University of Science and Technology,Shijiazhuang,Hebei 050018, ChinaSchool of Information Science and Engineering, Hebei University of Science and Technology,Shijiazhuang,Hebei 050018, ChinaSchool of Information Science and Engineering, Hebei University of Science and Technology,Shijiazhuang,Hebei 050018, ChinaTo analyze the impact of interaction size on cooperation level and population average payoff in the public goods game with punishment, by combining Monte Carlo simulation with the characteristics of real complex interaction environments, a dynamic interaction domain model was proposed based on a cooperation threshold. First, a dynamic interaction rule based on the cooperation threshold is designed, taking into account the characteristics of different numbers of cooperators in the game group. Secondly, simulation experiments are conducted to observe the evolution of cooperation level, population payoff, and interaction domain range in the public goods game model after incorporating the interaction domain update rule. Finally, we compare the effects of the traditional and new models on the evolution of cooperation under different parameter values and discuss the principles and effectiveness of the model. Extensive simulation experiments have validated that increasing the cooperation threshold or the variation parameter more efficaciously fosters cooperation and enhances the population's average payoff.This provides a new perspective for the study of public goods game in dynamic interactive environment.https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202501006?st=article_issuesystem modeling; the public goods game; cooperation threshold; interaction domain; payoff; cooperation |
spellingShingle | Xiangyang XU Yajie LIU Jinlong MA Cooperation evolution of dynamic interaction based on threshold in public goods game Journal of Hebei University of Science and Technology system modeling; the public goods game; cooperation threshold; interaction domain; payoff; cooperation |
title | Cooperation evolution of dynamic interaction based on threshold in public goods game |
title_full | Cooperation evolution of dynamic interaction based on threshold in public goods game |
title_fullStr | Cooperation evolution of dynamic interaction based on threshold in public goods game |
title_full_unstemmed | Cooperation evolution of dynamic interaction based on threshold in public goods game |
title_short | Cooperation evolution of dynamic interaction based on threshold in public goods game |
title_sort | cooperation evolution of dynamic interaction based on threshold in public goods game |
topic | system modeling; the public goods game; cooperation threshold; interaction domain; payoff; cooperation |
url | https://xuebao.hebust.edu.cn/hbkjdx/article/pdf/b202501006?st=article_issue |
work_keys_str_mv | AT xiangyangxu cooperationevolutionofdynamicinteractionbasedonthresholdinpublicgoodsgame AT yajieliu cooperationevolutionofdynamicinteractionbasedonthresholdinpublicgoodsgame AT jinlongma cooperationevolutionofdynamicinteractionbasedonthresholdinpublicgoodsgame |