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Why Bad Coffee?: Explaining Agent Plans with Valuings
Delft University of Technology, Delft, The Netherlands.ORCID iD: 0000-0001-7409-5813
2018 (English)In: Computer Safety, Reliability, and Security / [ed] Gallina B., Skavhaug A., Schoitsch E., Bitsch F., Springer International Publishing , 2018, Vol. 11094, p. 521-534Conference paper, Published paper (Refereed)
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. 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.

Place, publisher, year, edition, pages
Springer International Publishing , 2018. Vol. 11094, p. 521-534
Series
Lecture Notes in Computer Science, ISSN 0302-9743
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:umu:diva-157831DOI: 10.1007/978-3-319-99229-7_47OAI: oai:DiVA.org:umu-157831DiVA, id: diva2:1302101
Conference
SAFECOMP 2018, Computer Safety, Reliability, and Security, Västerås, Sweden, September 18-21, 2018
Available from: 2019-04-03 Created: 2019-04-03 Last updated: 2019-04-10Bibliographically approved

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CiteExportLink to record
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  • apa
  • ieee
  • modern-language-association-8th-edition
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Language
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Output format
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  • asciidoc
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