In this paper, we present a normal form for concept expressions in the description logic ALC which is based on a recently introduced notion of prime implicate for the modal logic ...
This paper describes an e-Government AI project that provides a range of intelligent AI services to support automated assessment of various types of applications submitted to an i...
Abductive diagnosis is an important method to identify explanations for a given set of observations. Unfortunately, most of the algorithmic problems in this area are intractable. ...
We introduce a new collaborative machine learning paradigm in which the user directs a learning algorithm by manually editing the automatically induced model. We identify a generi...
Vittorio Castelli, Lawrence D. Bergman, Daniel Obl...
Concurrent action execution is important for plan-length minimization. However, action specifications are often limited to avoid conflicts arising from precondition/effect inter...
Existing Information Extraction systems tend to focus on a tight window of context surrounding the desired information to be extracted. This leads to a number of shortcomings in t...
This paper contains two important contributions for the development of possibilistic causal networks. The first one concerns the representation of interventions in possibilistic ...