Emotion, trustworthiness and altruistic punishment in a tragedy of the commons social dilemma

Garrison Greenwood, Hussein A. Abbass, Eleni Petraki

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

Social dilemmas require individuals to tradeoff self interests against group interests. Considerable research effort has attempted to identify conditions that promote cooperation in these social dilemmas. It has previously been shown altruistic punishment can help promote cooperation but the mechanisms that make it work are not well under- stood. We have designed a multi-agent system to investigate altruistic punishment in tragedy of the commons social dilemmas. Players develop emotional responses as they interact with others. A zero order Seguno fuzzy system is used to model the player emotional responses. Players change strategies when their emotional level exceeds a personal emotional threshold. Trustworthiness of how other players will act in the future helps choose the new strategy. Our results show how strategies evolve in a finite population match predictions made using discrete replicator equations.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer-Verlag London Ltd.
Pages12-24
Number of pages13
Volume10142
ISBN (Print)9783319516905
DOIs
Publication statusPublished - 1 Jan 2017
Event3rd Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2017 - Geelong, Australia
Duration: 31 Jan 20172 Feb 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10142 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2017
CountryAustralia
CityGeelong
Period31/01/172/02/17

Fingerprint

Social Dilemma
Trustworthiness
Fuzzy systems
Multi agent systems
Finite Population
Fuzzy Systems
Multi-agent Systems
Exceed
Choose
Trade-offs
Emotion
Prediction
Zero
Strategy

Cite this

Greenwood, G., Abbass, H. A., & Petraki, E. (2017). Emotion, trustworthiness and altruistic punishment in a tragedy of the commons social dilemma. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10142, pp. 12-24). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10142 LNAI). Springer-Verlag London Ltd.. https://doi.org/10.1007/978-3-319-51691-2_2
Greenwood, Garrison ; Abbass, Hussein A. ; Petraki, Eleni. / Emotion, trustworthiness and altruistic punishment in a tragedy of the commons social dilemma. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 10142 Springer-Verlag London Ltd., 2017. pp. 12-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{1e055c214b9e4586940328c30c4aad88,
title = "Emotion, trustworthiness and altruistic punishment in a tragedy of the commons social dilemma",
abstract = "Social dilemmas require individuals to tradeoff self interests against group interests. Considerable research effort has attempted to identify conditions that promote cooperation in these social dilemmas. It has previously been shown altruistic punishment can help promote cooperation but the mechanisms that make it work are not well under- stood. We have designed a multi-agent system to investigate altruistic punishment in tragedy of the commons social dilemmas. Players develop emotional responses as they interact with others. A zero order Seguno fuzzy system is used to model the player emotional responses. Players change strategies when their emotional level exceeds a personal emotional threshold. Trustworthiness of how other players will act in the future helps choose the new strategy. Our results show how strategies evolve in a finite population match predictions made using discrete replicator equations.",
author = "Garrison Greenwood and Abbass, {Hussein A.} and Eleni Petraki",
year = "2017",
month = "1",
day = "1",
doi = "10.1007/978-3-319-51691-2_2",
language = "English",
isbn = "9783319516905",
volume = "10142",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag London Ltd.",
pages = "12--24",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

Greenwood, G, Abbass, HA & Petraki, E 2017, Emotion, trustworthiness and altruistic punishment in a tragedy of the commons social dilemma. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 10142, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10142 LNAI, Springer-Verlag London Ltd., pp. 12-24, 3rd Australasian Conference on Artificial Life and Computational Intelligence, ACALCI 2017, Geelong, Australia, 31/01/17. https://doi.org/10.1007/978-3-319-51691-2_2

Emotion, trustworthiness and altruistic punishment in a tragedy of the commons social dilemma. / Greenwood, Garrison; Abbass, Hussein A.; Petraki, Eleni.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 10142 Springer-Verlag London Ltd., 2017. p. 12-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10142 LNAI).

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - Emotion, trustworthiness and altruistic punishment in a tragedy of the commons social dilemma

AU - Greenwood, Garrison

AU - Abbass, Hussein A.

AU - Petraki, Eleni

PY - 2017/1/1

Y1 - 2017/1/1

N2 - Social dilemmas require individuals to tradeoff self interests against group interests. Considerable research effort has attempted to identify conditions that promote cooperation in these social dilemmas. It has previously been shown altruistic punishment can help promote cooperation but the mechanisms that make it work are not well under- stood. We have designed a multi-agent system to investigate altruistic punishment in tragedy of the commons social dilemmas. Players develop emotional responses as they interact with others. A zero order Seguno fuzzy system is used to model the player emotional responses. Players change strategies when their emotional level exceeds a personal emotional threshold. Trustworthiness of how other players will act in the future helps choose the new strategy. Our results show how strategies evolve in a finite population match predictions made using discrete replicator equations.

AB - Social dilemmas require individuals to tradeoff self interests against group interests. Considerable research effort has attempted to identify conditions that promote cooperation in these social dilemmas. It has previously been shown altruistic punishment can help promote cooperation but the mechanisms that make it work are not well under- stood. We have designed a multi-agent system to investigate altruistic punishment in tragedy of the commons social dilemmas. Players develop emotional responses as they interact with others. A zero order Seguno fuzzy system is used to model the player emotional responses. Players change strategies when their emotional level exceeds a personal emotional threshold. Trustworthiness of how other players will act in the future helps choose the new strategy. Our results show how strategies evolve in a finite population match predictions made using discrete replicator equations.

UR - http://www.scopus.com/inward/record.url?scp=85011396294&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/emotion-trustworthiness-altruistic-punishment-tragedy-commons-social-dilemma

U2 - 10.1007/978-3-319-51691-2_2

DO - 10.1007/978-3-319-51691-2_2

M3 - Conference contribution

SN - 9783319516905

VL - 10142

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 12

EP - 24

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer-Verlag London Ltd.

ER -

Greenwood G, Abbass HA, Petraki E. Emotion, trustworthiness and altruistic punishment in a tragedy of the commons social dilemma. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 10142. Springer-Verlag London Ltd. 2017. p. 12-24. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-51691-2_2