Individual choice and reputation distribution of cooperative behaviors among heterogeneous groups

Lü, Peng

doi:10.1016/j.chaos.2015.04.012

Cited by 19 publications

(2 citation statements)

References 58 publications

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“…Resorting to the powerful mathematical framework of evolutionary game theory, researchers have invested much effort in exploring this problem [3][4][5][6][7][8]. Since the seminal work on spatial games [9], traditional explorations of the evolution of cooperation on ideal structureless (well-mixed) populations [3][4][5][6] are moved to structured cases where individuals are constrained to play with their first or second order of neighbors [10][11][12][13][14][15]. With the discovery of topologies embedded in human interactions in the real society [16][17][18][19], many further investigations have been carried out in various complex networks where nodes indicate individuals and links represent neighborhoods [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Interactive diversity promotes the evolution of cooperation in structured populations

Zhou

et al. 2016

New J. Phys.

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Evolutionary games on networks traditionally assume that each individual adopts an identical strategy to interact with all its neighbors in each generation. Considering the prevalent diversity of individual interactions in the real society, here we propose the concept of interactive diversity, which allows individuals to adopt different strategies against different neighbors in each generation. We investigate the evolution of cooperation based on the edge dynamics rather than the traditional nodal dynamics in networked systems. The results show that, without invoking any other mechanisms, interactive diversity drives the frequency of cooperation to a high level for a wide range of parameters in both well-mixed and structured populations. Even in highly connected populations, cooperation still thrives. When interactive diversity and large topological heterogeneity are combined together, however, in the relaxed social dilemma, cooperation level is lower than that with just one of them, implying that the combination of many promotive factors may make a worse outcome. By an analytical approximation, we get the condition under which interactive diversity provides more advantages for cooperation than traditional evolutionary dynamics does. Numerical simulations validating the approximation are also presented. Our work provides a new line to explore the latent relation between the ubiquitous cooperation and individuals' distinct responses in different interactions. The presented results suggest that interactive diversity should receive more attention in pursuing mechanisms fostering cooperation.

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Section: Introductionmentioning

confidence: 99%

Interactive diversity promotes the evolution of cooperation in structured populations

Zhou

et al. 2016

New J. Phys.

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“…Specifically, knowledge agents decide whether or not to engage in knowledge transfer by considering the reputation of their neighbors. To explain the influence of reputation mechanisms on interorganizational knowledge transfer, we analyze reputation distribution [42,56], reputation multiplicative factor [39], and reputation decaying rate [57].…”

Section: Reputation Mechanismsmentioning

confidence: 99%

Modeling and Analysis of Interorganizational Knowledge Transfer Considering Reputation Mechanisms

et al. 2021

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Transferring a quantity of credible knowledge is a key sustainable competitive advantage for multi-agent cooperation in an interorganizational network (ION). This study presents simulation research to identify the impacts of reputation mechanisms in interorganizational knowledge transfer through systematic evolutionary game theory, addressing the sustainability of knowledge transfer behaviors in innovation, R&D, and low green carbon. The simulation results showed that an agent’s reputation provides information about having valuable knowledge, which can reduce some of the opportunistic behaviors of knowledge transfer faced by knowledge agents. Regardless of its form, we found that reputation distribution significantly promotes interorganizational knowledge transfer behaviors. In addition, higher reputation thresholds and more significant differences in the impact of high and low reputations prominently contribute to knowledge transfer efficiency and effectiveness. The relationship between reputation mechanisms and the efficiency and effectiveness of knowledge transfer is examined. This study sheds light on the sustainable management of interorganizational projects from reputation mechanisms.

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Structural effects of participation propensity in online collective actions: Based on big data and Delphi methods

Lü

2018

Journal of Computational and Applied Mathematics

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Individual choice and reputation distribution of cooperative behaviors among heterogeneous groups

Cited by 19 publications

References 58 publications

Interactive diversity promotes the evolution of cooperation in structured populations

Interactive diversity promotes the evolution of cooperation in structured populations

Modeling and Analysis of Interorganizational Knowledge Transfer Considering Reputation Mechanisms

Structural effects of participation propensity in online collective actions: Based on big data and Delphi methods

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