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Why bad coffee? Explaining BDI agent behaviour with valuings
Victoria University of Wellington, Wellington, New Zealand; University of Otago, Dunedin, New Zealand.ORCID iD: 0000-0002-5545-7003
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS). University of Otago, Dunedin, New Zealand.ORCID iD: 0000-0001-8587-2251
Umeå University, Umeå, Sweden.ORCID iD: 0000-0001-7409-5813
Umeå University, Umeå, Sweden; Utrecht University, Utrecht, Netherlands.ORCID iD: 0000-0002-5103-8127
2021 (English)In: Artificial Intelligence, ISSN 0004-3702, E-ISSN 1872-7921, Vol. 300, article id 103554Article in journal (Refereed) Published
Abstract [en]

An important issue in deploying an autonomous system is how to enable human users and stakeholders to develop an appropriate level of trust in the system. It has been argued that a crucial mechanism to enable appropriate trust is the ability of a system to explain its behaviour. Obviously, such explanations need to be comprehensible to humans. Due to the perceived similarity in functioning between humans and autonomous systems, we argue that it makes sense to build on the results of extensive research in social sciences that explores how humans explain their behaviour. Using similar concepts for explanation is argued to help with comprehensibility, since the concepts are familiar. Following work in the social sciences, we propose the use of a folk-psychological model that utilises beliefs, desires, and “valuings”. We propose a formal framework for constructing explanations of the behaviour of an autonomous system, present an (implemented) algorithm for giving explanations, and present evaluation results. © 2021 Elsevier B.V.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2021. Vol. 300, article id 103554
Keywords [en]
Belief-desire-intention, Explanation, Valuings
National Category
Philosophy
Identifiers
URN: urn:nbn:se:hh:diva-45982DOI: 10.1016/j.artint.2021.103554ISI: 000697026000005Scopus ID: 2-s2.0-85109950844OAI: oai:DiVA.org:hh-45982DiVA, id: diva2:1615421
Note

Funding: University of Otago Research Grant (UORG)

Available from: 2021-11-30 Created: 2021-11-30 Last updated: 2022-05-03Bibliographically approved

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Sidorenko, Galina

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