This work presents the development of a prototype expert system (ES) for the machine selection of manufacturing systems. This tool, called ESMRS (Expert System for Manufacturing Resource Selection) is used in a simulation based approach in order to structure the solution search mechanism and to overcome the try and error aspect. In fact, in such an approach a number of ‘simulation—ES optimizati...

We describe a clinical decision support system (CDSS) designed to provide timely information germane to poisoning. The CDSS aids medical decision making through recommendations to clinicians for immediate evaluation. The system is implemented as a rule-based expert system with two major components: the knowledge base and the inference engine. The knowledge base serves as the database which cont...

Although statistical quality control is already largely automated for the gathering and processing of data, improperly implemented quality control can yield erroneous results, which may go unnoticed indefinitely in a manufacturing environment. Quality control, which combines decisions and interpretations based on analytical data, on heuristics, and on user judgment, is suited for rule based exp...

Concept maps and expert systems are both in the soft toolbar of knowledge modelling. We have spent nearly two decades developing our expert system shell “Doctus”. Several years ago we have seen the first concept mapping solutions and started using them very soon. Frequently we have found ourselves using both tools in a particular research or consultancy project and started to wander how the two...

This paper presents issues around the integration of a framework for the development of interactive exploratory activities (DANTE) and a rule engine and scripting environment (JESS). The paper initially presents these two systems and their use. We then discuss design decisions and implementation considerations providing an insight for researchers and developers who are considering the integrati...

A probabilistic expert system provides a graphical representation of a joint probability distribution which enables local computations of probabilities. Dawid (1992) provided a ``ow-propagation' algorithm for nding the most probable connguration of the joint distribution in such a system. This paper analyses that algorithm in detail, and shows how it can be combined with a clever partitioning s...

Bayes-Nets are a suitable means for probabilistic inference. Such nets are very restricted concerning the communication language with the user, however. MinREnt-inference in a conditional environment is a powerful counterpart to this concept. Here conditional expressions of high complexity instead of mere potential tables in a directed acyclic graph, permit rich communication between system and...

Detailed design assumptions and functional principles of two hybrid rule-and model-based expert system shells for uncertain backward and forward reasoning are presented. The systems may be used to reason with any knowledge base, which consists of following parts: • Uncertain Rule Base, containing uncertain IF...THEN... rules used for reasoning • Uncertain Model Base, containing exact arithmetic...