We present a general approach for representing and reasoning with sets of defaults in default logic, focussing on reasoning about preferences among sets of defaults. First, we con...
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
There is an ongoing discussion whether reasoning in the Semantic Web should be monotonic or not. It seems however that the problem concerns not only the reasoning over knowledge bu...
In the previous years some authors have been elaborating on the measurementtheoretic foundations of fuzzy set theory. A well-known problem in this approach is the difficult applic...
This paper is an analysis of two knowledge representation extensions of logic programming, namely Answer Set Programming and ID-Logic. Our aim is to compare both logics on the leve...