2014
DOI: 10.1017/s1471068414000271
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A Measure of Arbitrariness in Abductive Explanations

Abstract: We study the framework of abductive logic programming extended with integrity constraints. For this framework, we introduce a new measure of the simplicity of an explanation based on its degree of arbitrariness: the more arbitrary the explanation, the less appealing it is, with explanations having no arbitrariness -they are called constrained -being the preferred ones. In the paper, we study basic properties of constrained explanations. For the case when programs in abductive theories are stratified we establi… Show more

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Cited by 6 publications
(14 citation statements)
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“…Several concepts of simplicity were considered in the literature, most notably those based on minimality with respect to inclusion and cardinality. This paper continues the work of Caroprese et al [5], who studied the problem of "preferred" explanations in the framework of abductive logic programming. Caroprese et al [5] proposed an orthogonal measure of the simplicity (quality) of an explanation which they called the degree of arbitrariness.…”
Section: Introductionsupporting
confidence: 58%
See 3 more Smart Citations
“…Several concepts of simplicity were considered in the literature, most notably those based on minimality with respect to inclusion and cardinality. This paper continues the work of Caroprese et al [5], who studied the problem of "preferred" explanations in the framework of abductive logic programming. Caroprese et al [5] proposed an orthogonal measure of the simplicity (quality) of an explanation which they called the degree of arbitrariness.…”
Section: Introductionsupporting
confidence: 58%
“…This paper continues the work of Caroprese et al [5], who studied the problem of "preferred" explanations in the framework of abductive logic programming. Caroprese et al [5] proposed an orthogonal measure of the simplicity (quality) of an explanation which they called the degree of arbitrariness. The less arbitrary the explanation (the lower its degree of arbitrariness), the more appealing it is, with explanations having no arbitrariness, called constrained, being the most preferred.…”
Section: Introductionsupporting
confidence: 58%
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“…Constrained updates fulfill the view-update request, changing the database minimally and avoiding arbitrary commitments. A similar approach has been presented for abductive logic programming extended with integrity constraints in Caroprese et al (2014). This work introduces the concept of constrained explanation for an observation as an explanation having no arbitrariness.…”
Section: Related Workmentioning
confidence: 99%