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Value-based rationales improve social experience: a multiagent simulation study
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000−0001−9304−6566
University of Bristol, Bristol, UK.ORCID iD: 0000-0003-3627-097X
North Carolina State University, Raleigh, NC, USA.ORCID iD: 0000-0003-3599-3893
2024 (English)In: ECAI 2024. 27th European Conference on Artificial Intelligence, Santiago de Compostela, October 19-24, 2024: Proceedings / [ed] Ulle Endriss; Francisco S. Melo; Kerstin Bach; Alberto Bugarín-Diz; José M. Alonso-Moral; Senén Barro; Fredrik Heintz, IOS Press, 2024, p. 3612-3619Conference paper, Published paper (Refereed)
Abstract [en]

We propose Exanna, a framework to realize agents that incorporate values in decision making. An Exanna agent considers the values of itself and others when providing rationales for its actions and evaluating the rationales provided by others. Via multiagent simulation, we demonstrate that considering values in decision making and producing rationales, especially for norm-deviating actions, leads to (1) higher conflict resolution, (2) better social experience, (3) higher privacy, and (4) higher flexibility.

Place, publisher, year, edition, pages
IOS Press, 2024. p. 3612-3619
Keywords [en]
Values, Value-Based Rationales, Multiagent Systems
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-229059DOI: 10.3233/FAIA240917Scopus ID: 2-s2.0-85216616194ISBN: 978-1-64368-548-9 (electronic)OAI: oai:DiVA.org:umu-229059DiVA, id: diva2:1894110
Conference
27th European Conference on Artificial Intelligence, Santiago de Compostela, Spain, October 19-24, 2024.
Available from: 2024-09-02 Created: 2024-09-02 Last updated: 2025-04-04Bibliographically approved

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Tzeng, Sz-Ting

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