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Investigating the effects of updating rules on cooperation by incorporating interactive diversity

  • Regular Article - Statistical and Nonlinear Physics
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An Erratum to this article was published on 09 April 2021

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Abstract

In reality, most individuals are prone to vary strategies when interacting with their counterparts; thus, it is highly likely that different strategies will be applied when confronting with different players, being referred to as interactive diversity. Numerous scholars have devoted their endless efforts into the investigation of the emergence and maintenance of cooperation for interactive diversity scenarios and this becomes an interesting research topic recently. However, evolutionary dynamics of such games still needs to be further studied. Here, a co-evolving mechanism is proposed aiming to study the effects of applying different updating rules on the level of cooperation when considering interactive diversity. Teaching and learning updating rules are considered in the co-evolving mechanism. Then, we have done extensive experiments and corresponding simulation results are provided. Sufficient analyses of the simulation results are given in order to understand the origin of the observed experimental phenomena. We find the fact that with the increase of the proportion of Type-T players, individuals start to adopt the strategy of cooperation even if the temptation to defect is relatively large; this indicates players are inclined to cooperate under such scenario. All in all, we hope the findings in this manuscript are capable of providing some valuable and interesting insights to solve the social dilemmas.

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Data Availability Statement

This manuscript has no associated data or the data will not be deposited. [Authors’ comment: The data can be obtained through the MC simulations which is performed according to the mechanism provided in this manuscript.]

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Acknowledgement

This work was supported in part by Science and Technology Innovation 2030 “New Generation Artificial Intelligence” Major Project (Grant no. 2020AAA0107704), Technology-Scientific and Technological Innovation Team of Shaanxi Province (Grant no. 2020TD-013), National Natural Science Foundation of China (Grant no. 62073263, 61866039), National Key Scientific Research Project (Grant nos. MJ-2016-S-42, MJ-2018-S-34), Shaanxi Science and Technology Program (Grant no. 2019PT-03).

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Authors and Affiliations

  1. School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, 710072, Shaanxi, China

    Peican Zhu, Xin Hou & Yangming Guo

  2. Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi’an, 710072, Shaanxi, China

    Peican Zhu, Xin Hou & Jinzhuo Liu

  3. School of Communication and Information Engineering, Xi’an University of Posts and Telecommunications, Xi’an, 710061, China

    Jiwei Xu

  4. School of Software Engineering, Yunnan University, Kunming, 650504, Yunnan, China

    Jinzhuo Liu

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  1. Peican Zhu
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  2. Xin Hou
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Correspondence to Peican Zhu.

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Zhu, P., Hou, X., Guo, Y. et al. Investigating the effects of updating rules on cooperation by incorporating interactive diversity. Eur. Phys. J. B 94, 58 (2021). https://doi.org/10.1140/epjb/s10051-021-00059-1

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