A knowledge-based system for prototypical reasoning

被引:17
作者
Lieto, Antonio [1 ,2 ]
Minieri, Andrea [1 ]
Piana, Alberto [1 ]
Radicioni, Daniele P. [1 ]
机构
[1] Univ Turin, Dipartimento Informat, I-10149 Turin, Italy
[2] CNR, ICAR, I-90128 Palermo, Italy
关键词
prototypical reasoning; common sense reasoning; dual process theory; formal ontologies; knowledge representation; conceptual spaces; FORMAL ONTOLOGIES; REPRESENTATIONS; MODEL;
D O I
10.1080/09540091.2014.956292
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this work we present a knowledge-based system equipped with a hybrid, cognitively inspired architecture for the representation of conceptual information. The proposed system aims at extending the classical representational and reasoning capabilities of the ontology-based frameworks towards the realm of the prototype theory. It is based on a hybrid knowledge base, composed of a classical symbolic component (grounded on a formal ontology) with a typicality based one (grounded on the conceptual spaces framework). The resulting system attempts to reconcile the heterogeneous approach to the concepts in Cognitive Science with the dual process theories of reasoning and rationality. The system has been experimentally assessed in a conceptual categorisation task where common sense linguistic descriptions were given in input, and the corresponding target concepts had to be identified. The results show that the proposed solution substantially extends the representational and reasoning 'conceptual' capabilities of standard ontology-based systems.
引用
收藏
页码:137 / 152
页数:16
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