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dc.contributor.authorDI FLORIO, Cecilia
dc.contributor.authorROTOLO, Antonino
dc.contributor.authorGOVERNATORI, Guido
dc.contributor.authorSARTOR, Giovanni
dc.date.accessioned2024-01-18T15:45:54Z
dc.date.available2024-01-18T15:45:54Z
dc.date.issued2023
dc.identifier.citationSarah GAGGL, Maria Vanina MARTINEZ and Magdalena ORTIZ (eds), Logic in artificial intelligence : JELIA 2023, Cham : Springer, 2023, Lecture notes in computer science ; 14281, pp. 123-141en
dc.identifier.isbn9783031436185
dc.identifier.isbn9783031436192
dc.identifier.issn1611-3349
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/1814/76329
dc.descriptionPublished online: 24 September 2023en
dc.description.abstractThis paper reconstructs in the context of formal argumentation the notion of stable explanation developed elsewhere in Defeasible Logic. With this done, we discuss the deontic meaning of this notion and show how to build from argumentation neighborhood structures for deontic logic where a stable explanation can be characterised.en
dc.description.sponsorshipAntonino Rotolo and Giovanni Sartor were partially supported by the Project PE01 “Future AI Research” (FAIR, PNRR, CUP: J33C22002830006).en
dc.language.isoenen
dc.publisherSpringeren
dc.titleStable normative explanations : from argumentation to deontic logicen
dc.typeContribution to booken
dc.identifier.doi10.1007/978-3-031-43619-2_9


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