Does a resource-storing mechanism favor “the wealthy do not fight”?—An approach from evolutionary game theory

Utsumi, Shinobu; Tatsukawa, Yuichi; Tanimoto, Jun

doi:10.1016/j.chaos.2022.112207

Cited by 5 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, considering strategy selection solely from the perspective of rational individuals may not be sufficient to establish efficient cooperation. From the perspective of social science, we can consider various aspects, including moral preferences for following personal norms, individual's social status, social value orientation and income inequality [80][81][82]. Moreover, the diversity of strategies in individual interactions is worth considering as it is common in both the natural world and society.…”

Section: Discussionmentioning

confidence: 99%

Edge-based strategies enhance cooperation in intertwined dynamics of cooperation and synchronization

Dong,

Dai,

et al. 2024

New J. Phys.

View full text Add to dashboard Cite

In various ecosystems and human societies, living organisms and systems often exhibit cooperative and synchronous behaviors during survival. Recently, co-evolutionary models of cooperation and synchronization have shed light on the underlying mechanisms driving such behaviors, offering an intriguing avenue for studying these phenomena. However, current research predominantly focuses on a point-strategy decision mode, where each individual is limited to taking the same actions towards its neighbors. Such an assumption implies that an individual is unable to differentiate its neighbors and adjust its strategy accordingly, making it difficult to capture the complexity and diversity of interactive behaviors observed in reality. To this end, we introduce the interaction mode based on the edge-strategy and investigate how synchronization and cooperation co-evolve under interaction diversity. Specifically, we explore a scenario in which individuals can adopt different strategic decisions toward their neighbors based on their differences, thereby extending the traditional point strategy. Our research clarifies the positive role of interaction diversity in alleviating the evolutionary Kuramoto’s dilemma. Moreover, it provides new insights and ideas for comprehending the influence of edge-strategy on the co-evolution of cooperative and synchronous behaviors.

show abstract

Section: Discussionmentioning

confidence: 99%

Edge-based strategies enhance cooperation in intertwined dynamics of cooperation and synchronization

Dong,

Dai,

et al. 2024

New J. Phys.

View full text Add to dashboard Cite

show abstract

“…Wang et al [31] utilized evolutionary game theory method to study how to promote the developments of hydrogen powered vehicle, hydrogen production, and solar powered vehicle industry in China. Utsumi et al [32] investigated whether a resource-storing mechanism effectively propels based on cooperation evolutionary game theory. Wang et al [33] employed a model based on evolutionary game theory to investigate crisis communication on social media.…”

Section: Evolutionary Gamementioning

confidence: 99%

Decision‐Making Mechanism of Cooperative Innovation between Clients and Service Providers Based on Evolutionary Game Theory

Zhang

Cao

et al. 2022

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

With the maturity of the service outsourcing market and the development of business relations, the core of outsourcing is shifting from transactional services to risk sharing and value creation. The client and service provider have an increasing interest in service innovation. Although cooperative innovation between them has many benefits, the two parties do not necessarily establish a cooperative innovation relationship. Regarding this issue, an evolutionary game focusing on client-service provider cooperative innovation behavior is constructed and solved. Based on the results and a corresponding numerical simulation, the decision-making mechanism of the cooperative innovation behavior is studied, and suggestions are provided regarding how to promote cooperative innovation. The results show that the benefits of both the client and service provider when they innovate cooperatively being greater than that when they innovate independently cannot guarantee that the system will certainly evolve to a stable state in which both parties adopt a cooperation strategy. However, as long as a condition in which either party gains more than zero when it innovates independently is established in addition to the preceding condition, the system will certainly evolve to a stable state in which both parties adopt a cooperative strategy. The following measures can be taken to promote client-service provider cooperation: improving the initial probabilities of the two parties choosing the cooperative strategy; increasing the innovation benefit when one party innovates independently; reducing the innovation cost and spillover coefficient when one party innovates independently; increasing the penalty when one party cooperates and the other party does not; decreasing the innovation cost when the two parties both choose the cooperation strategy; increasing the excess benefit when the two parties both cooperate; setting reasonable benefit distribution and cost sharing proportions.

show abstract

“…In general, when an individual's perceived risk of infection increases, she will choose a specific vaccination strategy (i.e., to vaccinate or not) with a probability that depends on a risk-benefit analysis [50] , [51] , [52] , [53] . Hence, individuals constantly update their strategies to maximize their interests.…”

Section: Introductionmentioning

confidence: 99%

Coupled disease-vaccination behavior dynamic analysis and its application in COVID-19 pandemic

Meng

Lin

et al. 2023

Chaos, Solitons & Fractals

View full text Add to dashboard Cite

Does a resource-storing mechanism favor “the wealthy do not fight”?—An approach from evolutionary game theory

Cited by 5 publications

References 16 publications

Edge-based strategies enhance cooperation in intertwined dynamics of cooperation and synchronization

Edge-based strategies enhance cooperation in intertwined dynamics of cooperation and synchronization

Decision‐Making Mechanism of Cooperative Innovation between Clients and Service Providers Based on Evolutionary Game Theory

Coupled disease-vaccination behavior dynamic analysis and its application in COVID-19 pandemic

Contact Info

Product

Resources

About