Qualitative models are often a useful abstraction of the physical world. Learning qualitative models from numerical data sible way to obtain such an abstraction. We present a new ...
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Dem...
Automated handling of tutoring and training functions in educational systems requires the availability of articulate domain models. In this article we further develop the applicat...
Kees de Koning, Bert Bredeweg, Joost Breuker, Bob ...
Explaining how engineering devices work is important to students, engineers, and operators. In general, machine generated explanations have been produced from a particular perspec...
Experience in the physical sciences suggests that the only realistic means of understanding complex systems is through the use of mathematical models. Typically, this has come to ...
George Macleod Coghill, Ashwin Srinivasan, Ross D....
The paper presents objectives and results of a series of case studies in computer support for diagnosis, failure mode and effects analysis, and the creation of repair manuals in t...
Formal verification based on model checking provides a powerful technology to query qualitative models of dynamical systems. The application of model-checking approaches is hamper...
Pedro T. Monteiro, Delphine Ropers, Radu Mateescu,...
Making inferences is crucial for understanding the world. The school may develop such skills but there are few formal opportunities for that. This paper describes an experiment de...
Acquisition of “quantitative” models of sufficient accuracy to enable effective analysis of requirements tradeoffs is hampered by the slowness and difficulty of obtaining su...