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

doi:10.1007/978-981-15-3415-7_9

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

School of Computer Science

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

42 Downloads (Pure)

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 language	English
Title of host publication	Bio-inspired Computing
Subtitle of host publication	Theories and Applications - 14th International Conference, BIC-TA 2019, Revised Selected Papers
Editors	Linqiang Pan, Jing Liang, Boyang Qu
Publisher	Springer
Pages	103-114
Number of pages	12
ISBN (Print)	9789811534140
DOIs	https://doi.org/10.1007/978-981-15-3415-7_9
Publication status	Published - 2020
Event	14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019 - Zhengzhou, China Duration: 22 Nov 2019 → 25 Nov 2019

Publication series

Name	Communications in Computer and Information Science
Volume	1160 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019
Country/Territory	China
City	Zhengzhou
Period	22/11/19 → 25/11/19

Keywords

Collective behavior
Evolutionary game theory
Simulation
Spatial Prisoner’s Dilemma

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-981-15-3415-7_9

Simulating collective behavior in the movement of immigrants by using a spatial prisoner’s dilemma with move optionAccepted author manuscript, 745 KBLicence: CC BY

Cite this

Lin, B., Zhou, C., Hua, Z., Hu, G., Ding, R., Zeng, Q., & Li, J. (2020). Simulating Collective Behavior in the Movement of Immigrants by Using a Spatial Prisoner’s Dilemma with Move Option. In L. Pan, J. Liang, & B. Qu (Eds.), Bio-inspired Computing: Theories and Applications - 14th International Conference, BIC-TA 2019, Revised Selected Papers (pp. 103-114). (Communications in Computer and Information Science; Vol. 1160 CCIS). Springer. https://doi.org/10.1007/978-981-15-3415-7_9

Lin, Bingchen ; Zhou, Can ; Hua, Zhe et al. / Simulating Collective Behavior in the Movement of Immigrants by Using a Spatial Prisoner’s Dilemma with Move Option. Bio-inspired Computing: Theories and Applications - 14th International Conference, BIC-TA 2019, Revised Selected Papers. editor / Linqiang Pan ; Jing Liang ; Boyang Qu. Springer, 2020. pp. 103-114 (Communications in Computer and Information Science).

@inproceedings{1abdc6dac63b48c9954ac5b5553f470f,

title = "Simulating Collective Behavior in the Movement of Immigrants by Using a Spatial Prisoner{\textquoteright}s Dilemma with Move Option",

abstract = "The movement of immigrants is simulated by using a spatial Prisoner{\textquoteright}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.",

keywords = "Collective behavior, Evolutionary game theory, Simulation, Spatial Prisoner{\textquoteright}s Dilemma",

author = "Bingchen Lin and Can Zhou and Zhe Hua and Guangdi Hu and Ruxin Ding and Qiyuan Zeng and Jiawei Li",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019 ; Conference date: 22-11-2019 Through 25-11-2019",

year = "2020",

doi = "10.1007/978-981-15-3415-7_9",

language = "English",

isbn = "9789811534140",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "103--114",

editor = "Linqiang Pan and Jing Liang and Boyang Qu",

booktitle = "Bio-inspired Computing",

}

Lin, B, Zhou, C, Hua, Z, Hu, G, Ding, R, Zeng, Q & Li, J 2020, Simulating Collective Behavior in the Movement of Immigrants by Using a Spatial Prisoner’s Dilemma with Move Option. in L Pan, J Liang & B Qu (eds), Bio-inspired Computing: Theories and Applications - 14th International Conference, BIC-TA 2019, Revised Selected Papers. Communications in Computer and Information Science, vol. 1160 CCIS, Springer, pp. 103-114, 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019, Zhengzhou, China, 22/11/19. https://doi.org/10.1007/978-981-15-3415-7_9

Simulating Collective Behavior in the Movement of Immigrants by Using a Spatial Prisoner’s Dilemma with Move Option. / Lin, Bingchen; Zhou, Can; Hua, Zhe et al.
Bio-inspired Computing: Theories and Applications - 14th International Conference, BIC-TA 2019, Revised Selected Papers. ed. / Linqiang Pan; Jing Liang; Boyang Qu. Springer, 2020. p. 103-114 (Communications in Computer and Information Science; Vol. 1160 CCIS).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Simulating Collective Behavior in the Movement of Immigrants by Using a Spatial Prisoner’s Dilemma with Move Option

AU - Lin, Bingchen

AU - Zhou, Can

AU - Hua, Zhe

AU - Hu, Guangdi

AU - Ding, Ruxin

AU - Zeng, Qiyuan

AU - Li, Jiawei

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Collective behavior

KW - Evolutionary game theory

KW - Simulation

KW - Spatial Prisoner’s Dilemma

UR - http://www.scopus.com/inward/record.url?scp=85083957511&partnerID=8YFLogxK

U2 - 10.1007/978-981-15-3415-7_9

DO - 10.1007/978-981-15-3415-7_9

M3 - Conference contribution

AN - SCOPUS:85083957511

SN - 9789811534140

T3 - Communications in Computer and Information Science

SP - 103

EP - 114

BT - Bio-inspired Computing

A2 - Pan, Linqiang

A2 - Liang, Jing

A2 - Qu, Boyang

PB - Springer

T2 - 14th International Conference on Bio-inspired Computing: Theories and Applications, BIC-TA 2019

Y2 - 22 November 2019 through 25 November 2019

ER -

Lin B, Zhou C, Hua Z, Hu G, Ding R, Zeng Q et al. Simulating Collective Behavior in the Movement of Immigrants by Using a Spatial Prisoner’s Dilemma with Move Option. In Pan L, Liang J, Qu B, editors, Bio-inspired Computing: Theories and Applications - 14th International Conference, BIC-TA 2019, Revised Selected Papers. Springer. 2020. p. 103-114. (Communications in Computer and Information Science). doi: 10.1007/978-981-15-3415-7_9

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

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this