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
CEUR Workshop Proceedings
33rd Italian Conference on Computational Logic, CILC 2018
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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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