Effects of Interaction and Learning Distance on Cooperation in Evolutionary Games on a Multiplex Network

Yasuyuki Nakamura, Koichi Yasutake, Keiya Ando, Takahiro Tagawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We investigated a two-layered multiplex network in which players interact depending on the social distance between them. The aim of this study is to clarify the effects of multi-layered structure on emergence of cooperation in the prisoner’s dilemma game including social distances, interactions, and learning distances. We found that the increase of learning distance promotes cooperation even on a multiplex network, and a cooperative strategy tends to vanish away with the parameters, which is contract to the Seltzer’s result.

Original languageEnglish
Title of host publicationComplex Networks and Their Applications VII - Volume 1 Proceedings The 7th International Conference on Complex Networks and their Applications COMPLEX NETWORKS 2018
EditorsRenaud Lambiotte, Luis M. Rocha, Pietro Lió, Hocine Cherifi, Luca Maria Aiello, Chantal Cherifi
PublisherSpringer Verlag
Pages797-803
Number of pages7
ISBN (Print)9783030054106
DOIs
Publication statusPublished - Jan 1 2019
Event7th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2018 - Cambridge, United Kingdom
Duration: Dec 11 2018Dec 13 2018

Publication series

NameStudies in Computational Intelligence
Volume812
ISSN (Print)1860-949X

Other

Other7th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2018
CountryUnited Kingdom
CityCambridge
Period12/11/1812/13/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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  • Cite this

    Nakamura, Y., Yasutake, K., Ando, K., & Tagawa, T. (2019). Effects of Interaction and Learning Distance on Cooperation in Evolutionary Games on a Multiplex Network. In R. Lambiotte, L. M. Rocha, P. Lió, H. Cherifi, L. M. Aiello, & C. Cherifi (Eds.), Complex Networks and Their Applications VII - Volume 1 Proceedings The 7th International Conference on Complex Networks and their Applications COMPLEX NETWORKS 2018 (pp. 797-803). (Studies in Computational Intelligence; Vol. 812). Springer Verlag. https://doi.org/10.1007/978-3-030-05411-3_63