In this short paper we describe COCOS, a tool we are currently developing in order to account for the phenomenon of combining prototypical concepts, an open problem in the fields of AI and cognitive modelling. COCOS is based on a probabilistic extension of the logic of typicality ALC + TR by inclusions p:: T(C) ⊆ D ("we have probability p that typical Cs are Ds") and it embeds a set of cognitive heuristics for concept combination.

COCOS: A typicality based COncept COmbination System

Valese A.
2018

Abstract

In this short paper we describe COCOS, a tool we are currently developing in order to account for the phenomenon of combining prototypical concepts, an open problem in the fields of AI and cognitive modelling. COCOS is based on a probabilistic extension of the logic of typicality ALC + TR by inclusions p:: T(C) ⊆ D ("we have probability p that typical Cs are Ds") and it embeds a set of cognitive heuristics for concept combination.
2018
Inglese
Inglese
CEUR Workshop Proceedings
2214
CEUR WORKSHOP PROCEEDINGS
55
59
5
CEUR-WS
33rd Italian Conference on Computational Logic, CILC 2018
2018
ita
2-s2.0-85054317907
no
273
Lieto, A.; Pozzato, G. L.; Valese, A.
3
none
info:eu-repo/semantics/conferenceObject
04 CONTRIBUTO IN ATTO DI CONVEGNO::04.01 - Contributo in atti di convegno
04.01 - Contributo in atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3540791
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