Intelligent operation support systems emerged from the complexity of modern industrial
plants and the availability of inexpensive computer hardware. Modern industrial plants often …

The research strategy for developing qualitative reasoners has as its main aim the
development of a qualitative mathematics capable of yielding significant results consistent …

Models are representations of artefacts or situations that are developed for a prescribed
purpose. The authors consider models to be executable descriptions of the real world; that is …

A formal classification of primitive tasks for knowledge-based system applications in
industrial automation is presented. The classification is based on a system theoretic …

An architecture for the integrated supervision of complex dynamic processes is presented.
This allows the supervised evolution of the control from normal feedback control during …

The work presented in this paper is devoted to intelligent on-line supervision tools. In the
proposed approach, the human operator remains in the decision loop, at the highest level …

The focus of the present paper is to develop principles for support of joint human-machine
reasoning processes in dynamic environments. The central notion is to separate the …

We argue that the development of artificial intelligence techniques is bringing about
fundamental changes in the way we represent and reason about the physical world. From a …

This paper presents a methodology for integrating common-sense and qualitative simulation
of physical systems by the use of Fuzzy Sets. This allows a semi-quantitative extension to …

Intelligent control of complex industrial processes requires that knowledge from a variety of
sources be used to maintain control over an extended set of operating conditions. It is …