Add to ORKGIn this extended abstract we report some results concerning the relationships between a multipreferentia semantics for defeasible reasoning in knowledge representation and some neural network models, namel Self-Organising Maps and Multilayer Perceptrons
Motivation: Though neural networks are extensively used to tackle the problems associated with bioin...
In this paper we establish a link between fuzzy and preferential semantics for description logics an...
Weighted knowledge bases for description logics with typicality have been recently considered under ...
In this paper we investigate the relationships between a multipreferential semantics for defeasible ...
In this paper we report about the relationships between a multi-preferential semantics for defeasibl...
In this short paper we report about a "concept-wise" multipreference semantics for weighted conditio...
In this paper we describe a concept-wise multi-preference semantics for description logic which has ...
The paper investigates the properties of a fuzzy logic of typicality. The extension of fuzzy logic w...
We define a model-theoretic reasoning formal-ism that is naturally implemented on sym-metric neural ...
Ever since the discovery of neural networks, there has been a controversy between two modes of infor...
This paper describes multidimensional neural preference classes and preference Moore ma-chines as a ...
Research on Deep Learning has achieved remarkable results in recent years, mainly thanks to the com...
Neural-symbolic models bridge the gap between sub-symbolic and symbolic approaches, both of which ha...
The knowledge base in expert systems usually contains different types of information which can be cl...
ABSTRACT—Human mental representations are both flexi-ble and structured—properties that, together, p...
Motivation: Though neural networks are extensively used to tackle the problems associated with bioin...
In this paper we establish a link between fuzzy and preferential semantics for description logics an...
Weighted knowledge bases for description logics with typicality have been recently considered under ...
In this paper we investigate the relationships between a multipreferential semantics for defeasible ...
In this paper we report about the relationships between a multi-preferential semantics for defeasibl...
In this short paper we report about a "concept-wise" multipreference semantics for weighted conditio...
In this paper we describe a concept-wise multi-preference semantics for description logic which has ...
The paper investigates the properties of a fuzzy logic of typicality. The extension of fuzzy logic w...
We define a model-theoretic reasoning formal-ism that is naturally implemented on sym-metric neural ...
Ever since the discovery of neural networks, there has been a controversy between two modes of infor...
This paper describes multidimensional neural preference classes and preference Moore ma-chines as a ...
Research on Deep Learning has achieved remarkable results in recent years, mainly thanks to the com...
Neural-symbolic models bridge the gap between sub-symbolic and symbolic approaches, both of which ha...
The knowledge base in expert systems usually contains different types of information which can be cl...
ABSTRACT—Human mental representations are both flexi-ble and structured—properties that, together, p...
Motivation: Though neural networks are extensively used to tackle the problems associated with bioin...
In this paper we establish a link between fuzzy and preferential semantics for description logics an...
Weighted knowledge bases for description logics with typicality have been recently considered under ...