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Logic of generality
Department of Computer Science, KU Leuven, Leuven, Belgium.ORCID-id: 0000-0002-6860-6303
2017 (Engelska)Ingår i: Encyclopedia of Machine Learning and Data Mining / [ed] Claude Sammut, Geoffrey I. Webb, New York: Springer-Verlag New York, 2017, s. 772-780Kapitel i bok, del av antologi (Refereegranskat)
Abstract [en]

One hypothesis is more general than another one if it covers all instances that are also covered by the latter one. The former hypothesis is called a  generalization of the latter one, and the latter a  specialization of the former. When using logical formulae as hypotheses, the generality relation coincides with the notion of logical entailment, which implies that the generality relation can be analyzed from a logical perspective. The logical analysis of generality, which is pursued in this chapter, leads to the perspective of induction as the inverse of deduction. This forms the basis for an analysis of various logical frameworks for reasoning about generality and for traversing the space of possible hypotheses. Many of these frameworks (such as for instance, θ-subsumption) are employed in the field of inductive...

Ort, förlag, år, upplaga, sidor
New York: Springer-Verlag New York, 2017. s. 772-780
Nyckelord [en]
Generality and logic, Induction as inverted deduction, Inductive inference rules, Is more general than, Is more specific than, Specialization
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Data- och informationsvetenskap
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URN: urn:nbn:se:oru:diva-87207ISBN: 9781489976857 (tryckt)ISBN: 9781489976871 (digital)OAI: oai:DiVA.org:oru-87207DiVA, id: diva2:1498685
Tillgänglig från: 2020-11-05 Skapad: 2020-11-05 Senast uppdaterad: 2020-11-10Bibliografiskt granskad

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