Social Value Orientation and Integral Emotions in Multi-Agent Systems

Daniel E. Collins*, Conor J. Houghton, Nirav Ajmeri

*Corresponding author for this work

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

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Human social behaviour is influenced by individual differences in social preferences. Social value orientation (SVO) is a measurable personality trait which indicates the relative importance an individual places on their own and on others’ welfare when making decisions. SVO and other individual difference variables are strong predictors of human behaviour and social outcomes. However, there are transient changes in human behaviour associated with emotions that are not captured by individual differences alone. Integral emotions, the emotions which arise in direct response to a decision making scenario, have been linked to temporary shifts in decision making preferences. In this work, we investigated the effects of modifying social preferences according to transient integral emotions in multi-agent societies. We developed Svoie, a method for designing agents that make decisions based on established SVO policies, as well as alternative integral emotion policies in response to task outcomes. We conducted simulation experiments in a resource-sharing task environment, and compared societies of Svoie agents with societies of agents with fixed SVO policies. We find that societies of agents that adapt their behaviour through integral emotions achieved similar collective welfare to societies of agents with fixed SVO policies, but with significantly reduced inequality in welfare among agents with different SVO traits. We observed that by allowing agents to adapt their policy in response to task outcomes, our agent societies achieved reduced social inequality.

Original languageEnglish
Title of host publicationCoordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVI
Subtitle of host publication27th International Workshop, COINE 2023, London, UK, May 29, 2023, Revised Selected Papers
EditorsNicoletta Fornara, Jithin Cheriyan, Asimina Mertzani
Place of PublicationLondon
Number of pages21
ISBN (Electronic)978-3-031-49133-7
ISBN (Print)978-3-031-49132-0
Publication statusPublished - 20 Dec 2023
EventCOINE-2023: International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems - 2023 - London, United Kingdom
Duration: 29 May 202330 May 2023

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Country/TerritoryUnited Kingdom

Structured keywords

  • Interactive Artificial Intelligence CDT


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