2017
DOI: 10.1007/s10992-017-9440-3
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Obligation as Optimal Goal Satisfaction

Abstract: Formalising deontic concepts, such as obligation, prohibition and permission, is normally carried out in a modal logic with a possible world semantics, in which some worlds are better than others. The main focus in these logics is on inferring logical consequences, for example inferring that the obligation O q is a logical consequence of the obligations O p and O (p → q). In this paper we propose a nonmodal approach in which obligations are preferred ways of satisfying goals expressed in first-order logic. To … Show more

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Cited by 6 publications
(2 citation statements)
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References 50 publications
(69 reference statements)
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“…Solutions to a constraint hierarchy are intuitively valuations that satisfy all of the hard constraints and no other valuations that better satisfy the soft constraints (for formal definitions, see [1,3]). We define an obligatory consequence based on the solutions to a constraint hierarchy according to the concept of obligation [4], as follows.…”
Section: Constraint Hierarchies and Case Models For Representing Normsmentioning
confidence: 99%
“…Solutions to a constraint hierarchy are intuitively valuations that satisfy all of the hard constraints and no other valuations that better satisfy the soft constraints (for formal definitions, see [1,3]). We define an obligatory consequence based on the solutions to a constraint hierarchy according to the concept of obligation [4], as follows.…”
Section: Constraint Hierarchies and Case Models For Representing Normsmentioning
confidence: 99%
“…A notable application of Abductive Logic Programming to normative reasoning is Kowalski and Satoh's Normative ALP Frameworks [38]. Normative ALP Frameworks are abductive logic programs with a preference relation defined as a partial order over models; a formula is obligatory in a Normative ALP if it is true in all its optimal (i.e., such that no other model is preferred) models.…”
Section: Related Workmentioning
confidence: 99%