Noe: Norm Emergence and Robustness Based on Emotions in Multiagent Systems

Sz Ting Tzeng; Nirav Ajmeri; Munindar P. Singh

doi:10.1007/978-3-031-16617-4_5

Noe: Norm Emergence and Robustness Based on Emotions in Multiagent Systems

Sz Ting Tzeng^*
, Nirav Ajmeri
, Munindar P. Singh

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

4 Citations (Scopus)

Abstract

Social norms characterize collective and acceptable group conducts in human society. Furthermore, some social norms emerge from interactions of agents or humans. To achieve agent autonomy and make norm satisfaction explainable, we include emotions into the normative reasoning process, which evaluates whether to comply or violate a norm. Specifically, before selecting an action to execute, an agent observes the environment and infers the state and consequences with its internal states after norm satisfaction or violation of a social norm. Both norm satisfaction and violation provoke further emotions, and the subsequent emotions affect norm enforcement. This paper investigates how modeling emotions affect the emergence and robustness of social norms via social simulation experiments. We find that an ability in agents to consider emotional responses to the outcomes of norm satisfaction and violation (1) promotes norm compliance; and (2) improves societal welfare.

Original language	English
Title of host publication	Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIV - International Workshop, COINE 2021, Revised Selected Papers
Subtitle of host publication	International Workshop, COINE 2021
Editors	Andreas Theodorou, Juan Carlos Nieves, Marina De Vos
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	62-77
Number of pages	16
ISBN (Print)	9783031166167
DOIs	https://doi.org/10.1007/978-3-031-16617-4_5
Publication status	Published - 15 Oct 2022
Event	International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems, COINE 2021, Co-located with the 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 - Virtual, Online Duration: 3 May 2021 → 3 May 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13239 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems, COINE 2021, Co-located with the 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021
City	Virtual, Online
Period	3/05/21 → 3/05/21

Bibliographical note

Funding Information:
STT and MPS thank the NSF for partial support under grant IIS-1908374.

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Access to Document

10.1007/978-3-031-16617-4_5Licence: Unspecified

https://arxiv.org/abs/2104.15034

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Persistent link

Cite this

Tzeng, S. T., Ajmeri, N., & Singh, M. P. (2022). Noe: Norm Emergence and Robustness Based on Emotions in Multiagent Systems. In A. Theodorou, J. C. Nieves, & M. De Vos (Eds.), Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIV - International Workshop, COINE 2021, Revised Selected Papers: International Workshop, COINE 2021 (pp. 62-77). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13239 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-16617-4_5

Tzeng, Sz Ting ; Ajmeri, Nirav ; Singh, Munindar P. / Noe : Norm Emergence and Robustness Based on Emotions in Multiagent Systems. Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIV - International Workshop, COINE 2021, Revised Selected Papers: International Workshop, COINE 2021. editor / Andreas Theodorou ; Juan Carlos Nieves ; Marina De Vos. Springer Science and Business Media Deutschland GmbH, 2022. pp. 62-77 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Noe: Norm Emergence and Robustness Based on Emotions in Multiagent Systems",

abstract = "Social norms characterize collective and acceptable group conducts in human society. Furthermore, some social norms emerge from interactions of agents or humans. To achieve agent autonomy and make norm satisfaction explainable, we include emotions into the normative reasoning process, which evaluates whether to comply or violate a norm. Specifically, before selecting an action to execute, an agent observes the environment and infers the state and consequences with its internal states after norm satisfaction or violation of a social norm. Both norm satisfaction and violation provoke further emotions, and the subsequent emotions affect norm enforcement. This paper investigates how modeling emotions affect the emergence and robustness of social norms via social simulation experiments. We find that an ability in agents to consider emotional responses to the outcomes of norm satisfaction and violation (1) promotes norm compliance; and (2) improves societal welfare.",

author = "Tzeng, \{Sz Ting\} and Nirav Ajmeri and Singh, \{Munindar P.\}",

note = "Funding Information: STT and MPS thank the NSF for partial support under grant IIS-1908374. Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems, COINE 2021, Co-located with the 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 ; Conference date: 03-05-2021 Through 03-05-2021",

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Tzeng, ST, Ajmeri, N & Singh, MP 2022, Noe: Norm Emergence and Robustness Based on Emotions in Multiagent Systems. in A Theodorou, JC Nieves & M De Vos (eds), Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIV - International Workshop, COINE 2021, Revised Selected Papers: International Workshop, COINE 2021. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13239 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 62-77, International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems, COINE 2021, Co-located with the 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021, Virtual, Online, 3/05/21. https://doi.org/10.1007/978-3-031-16617-4_5

Noe: Norm Emergence and Robustness Based on Emotions in Multiagent Systems. / Tzeng, Sz Ting; Ajmeri, Nirav; Singh, Munindar P.
Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIV - International Workshop, COINE 2021, Revised Selected Papers: International Workshop, COINE 2021. ed. / Andreas Theodorou; Juan Carlos Nieves; Marina De Vos. Springer Science and Business Media Deutschland GmbH, 2022. p. 62-77 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13239 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AB - Social norms characterize collective and acceptable group conducts in human society. Furthermore, some social norms emerge from interactions of agents or humans. To achieve agent autonomy and make norm satisfaction explainable, we include emotions into the normative reasoning process, which evaluates whether to comply or violate a norm. Specifically, before selecting an action to execute, an agent observes the environment and infers the state and consequences with its internal states after norm satisfaction or violation of a social norm. Both norm satisfaction and violation provoke further emotions, and the subsequent emotions affect norm enforcement. This paper investigates how modeling emotions affect the emergence and robustness of social norms via social simulation experiments. We find that an ability in agents to consider emotional responses to the outcomes of norm satisfaction and violation (1) promotes norm compliance; and (2) improves societal welfare.

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Tzeng ST, Ajmeri N, Singh MP. Noe: Norm Emergence and Robustness Based on Emotions in Multiagent Systems. In Theodorou A, Nieves JC, De Vos M, editors, Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XIV - International Workshop, COINE 2021, Revised Selected Papers: International Workshop, COINE 2021. Springer Science and Business Media Deutschland GmbH. 2022. p. 62-77. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-16617-4_5