A method to induce bayesian networks from data to overcome some limitations of other learning algorithms is proposed. One of the main features of this method is a metric to evalua...
The SEMEX tool for question answering is presented. Its architecture and features for extracting from input text a network of concept nodes that index syntax-based logical forms, ...
Modeling and formally analyzing active network systems and protocols is quite challenging, due to their highly dynamic nature and the need for new network models. We propose a wid...
We investigate probabilistic propositional logic as a way of expressing and reasoning about uncertainty. In contrast to Bayesian networks, a logical approach can easily cope with i...
The Connectionist Inductive Learning and Logic Programming System, C-IL 2 P, integrates the symbolic and connectionist paradigms of Artificial Intelligence through neural networks...