An often-mentioned advantage of rule-based programming languages is that a program can be extended simply by adding a few more rules. In practice however, the rules tend to be dep...
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Abstract. Logic programming has often been considered less than adequate for modelling the dynamics of knowledge changing over time. Evolving Logic Programs (EVOLP) has been recent...
Abstract. This paper introduces matching logic, a novel framework for defining axiomatic semantics for programming languages, inspired from operational semantics. Matching logic sp...
Abstract. Logical Bayesian Networks (LBNs) have recently been introduced as another language for knowledge based model construction of Bayesian networks, besides existing languages...
Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe...