Ontologic knowledge is getting more and more important in agent-based systems, and its handling is becoming crucial for successful applications. But placing all the ontologyhandli...
In possibility theory, there are two kinds of possibilistic causal networks depending if possibilistic conditioning is based on the minimum or on the product operator. Similarly t...
Machine learning (ML) is often used to obtain control knowledge to improve planning efficiency. Usually, ML techniques are used in isolation from experience that could be obtained...
This paper presents a new method of interactive refinement of a knowledge base. The first step of our method is a validation stage which checks the consistency and the completenes...
How to compute marginals efficiently is one of major concerned problems in probabilistic reasoning systems. Traditional graphical models do not preserve all conditional independen...