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Evaluating a Mechanism for Explaining BDI Agent Behaviour
Victoria University of Wellington, Wellington, New Zealand.
Halmstad University, School of Information Technology.ORCID iD: 0000-0001-8587-2251
2023 (English)In: Proceedings of the 5th International Workshop on EXTRAAMAS 2023 / [ed] Davide Calvaresi; Amro Najjar; Andrea Omicini; Reyhan Aydoğan; Rachele Carli; Giovanni Ciatto; Yazan Mualla; Kary Främling, Heidelberg: Springer, 2023, Vol. 14127, p. 18-37Conference paper, Published paper (Refereed)
Abstract [en]

Explainability of autonomous systems is important to supporting the development of appropriate levels of trust in the system, as well as supporting system predictability. Previous work has proposed an explanation mechanism for Belief-Desire-Intention (BDI) agents that uses folk psychological concepts, specifically beliefs, desires, and valuings. In this paper we evaluate this mechanism by conducting a survey. We consider a number of explanations, and assess to what extent they are considered believable, acceptable, and comprehensible, and which explanations are preferred. We also consider the relationship between trust in the specific autonomous system, and general trust in technology. We find that explanations that include valuings are particularly likely to be preferred by the study participants, whereas those explanations that include links are least likely to be preferred. We also found evidence that single-factor explanations, as used in some previous work, are too short. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Place, publisher, year, edition, pages
Heidelberg: Springer, 2023. Vol. 14127, p. 18-37
Series
Lecture Notes in Artificial Intelligence (LNAI) ; 14127
Keywords [en]
Belief-Desire-Intention (BDI), Evaluation, Explainable Agency
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hh:diva-51781DOI: 10.1007/978-3-031-40878-6_2Scopus ID: 2-s2.0-85172283127ISBN: 9783031408779 (print)OAI: oai:DiVA.org:hh-51781DiVA, id: diva2:1812541
Conference
The 5th International Workshop on EXplainable and TRAnsparent AI and Multi-Agent Systems (EXTRAAMAS 2023), London, United Kingdom, 29 May, 2023
Available from: 2023-11-16 Created: 2023-11-16 Last updated: 2023-11-17Bibliographically approved

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Sidorenko, Galina

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CiteExportLink to record
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Citation style
  • apa
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