Simulating Collective Behavior in the Movement of Immigrants by Using a Spatial Prisoner’s Dilemma with Move Option

Bingchen Lin, Can Zhou, Zhe Hua, Guangdi Hu, Ruxin Ding, Qiyuan Zeng, Jiawei Li

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

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Abstract

The movement of immigrants is simulated by using a spatial Prisoner’s Dilemma (PD) with move option. We explore the effect of collective behavior in an evolutionary migrating dynamics. Simulation results show that immigrants adopting collective strategy perform better and thus gain higher survival rate than those not. This research suggests that the clustering of immigrants promotes cooperation.

Original languageEnglish
Title of host publicationBio-inspired Computing
Subtitle of host publicationTheories and Applications - 14th International Conference, BIC-TA 2019, Revised Selected Papers
EditorsLinqiang Pan, Jing Liang, Boyang Qu
PublisherSpringer
Pages103-114
Number of pages12
ISBN (Print)9789811534140
DOIs
Publication statusPublished - 2020
Event14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019 - Zhengzhou, China
Duration: 22 Nov 201925 Nov 2019

Publication series

NameCommunications in Computer and Information Science
Volume1160 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019
Country/TerritoryChina
CityZhengzhou
Period22/11/1925/11/19

Keywords

  • Collective behavior
  • Evolutionary game theory
  • Simulation
  • Spatial Prisoner’s Dilemma

ASJC Scopus subject areas

  • Computer Science (all)
  • Mathematics (all)

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