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A description logic of typicality for conceptual combination

Contributo in Atti di convegno
Data di Pubblicazione:
2018
Abstract:
We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of combining prototypical concepts, an open problem in the fields of AI and cognitive modelling. Our logic extends the logic of typicality ALC+TR, based on the notion of rational closure, by inclusions (“we have probability p that typical Cs are Ds”), coming from the distributed semantics of probabilistic Description Logics. Additionally, it embeds a set of cognitive heuristics for concept combination. We show that the complexity of reasoning in our logic is ExpTime-complete as in the underlying ALC.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Concept combination, Description Logics, Typicality, Cognitive Semantics
Elenco autori:
Lieto, Antonio; Pozzato, Gian Luca*
Autori di Ateneo:
POZZATO Gian Luca
Link alla scheda completa:
https://iris.unito.it/handle/2318/1685068
Titolo del libro:
Foundations of Intelligent Systems 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings
Pubblicato in:
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Journal
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Series
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URL

https://www.springer.com/us/book/9783030018504
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