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A description logic framework for commonsense conceptual combination integrating typicality, probabilities and cognitive heuristics

Abstract

We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of the combination of prototypical concepts. The proposed logic relies on the logic of typicality , whose semantics is based on the notion of rational closure, as well as on the distributed semantics of probabilistic Description Logics, and is equipped with a cognitive heuristic used by humans for concept composition. We first extend the logic of typicality by typicality inclusions of the form , whose intuitive meaning is that 'we believe with degree about the fact that typical Cs are Ds'. As in the distributed semantics, we define different scenarios containing only some typicality inclusions, each one having a suitable probability. We then exploit such scenarios in order to ascribe typical properties to a concept obtained as the combination of two prototypical concepts. We also show that reasoning in the proposed Description Logic is EXPTIME-complete as for the underlying standard Description Logic .


Publication:
Journal of Experimental & Theoretical Artificial Intelligence
Pub Date:
September 2020
DOI:

10.1080/0952813X.2019.1672799

Bibcode:
2020JETAI..32..769L
Keywords:
  • Nonmonotonic reasoning;
  • description logics;
  • common-sense reasoning;
  • cognitive modelling
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