– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
The crisis in science education and the need for innovative computer-based learning environments has prompted us to develop a multi-agent system, Betty’s Brain that implements t...
Krittaya Leelawong, Karun Viswanath, Joan M. Davis...
Abstract: Modeling of modern production plants often requires that the system provides means to cope with frequent changes in topology and equipment and can easily be adapted to ne...
In this paper we propose some extensions necessary to enable the speci cation and description language SDL to become an appropriate formalism for the design of real-time and embedd...
Marius Bozga, Susanne Graf, Laurent Mounier, Iulia...
This paper introduces a new approach to provide users with solutions to explore a domain via an information space. A key point in our approach is that information searching and ex...