In this paper, we present a method for conceptual modelling of a real-time expert system for monitoring and control. Five models of interface model, object model, task model, inference model and strategy model, are generated by using this method to describe diierent aspects of the system. We illustrate the ve models by giving examples from modelling an expert system for monitoring and control o...

The performance of a case-based diagnosis system should be validated before it can be applied in a critical operational environment. This paper proposes a framework for a validation process of case-based diagnosis systems. This framework is developed from existing work on expert system validation and on evaluation and improvement of the performance of casebased reasoning systems. First results ...

In this paper, a new class of hybrid expert system framework using relational database systems as integrating mechanism has proposed, designed and implemented to develop expert systems and neural networks, and, to couple them to/through the database systems using client/server model and blackboard model of problemsolving. A new coupling approach (database coupling) is used to integrate expert s...

This paper discusses the design and implementation of ESSPL, an expert system which generates security plans for alarm systems (Figure 1). Security planning is the task of determining an e cient layout of sensors, alarms, and the associated wiring for a building. ESSPL uses Rule Based System technology to generate a plan and Constraint Based technology to position the alarm equipment. A Constra...

One of the most popular utilization of expert systems is supporting credit granting decisions. Usually, certain systems without possibilities of representing of uncertain knowledge are used. The main aim of this paper is to compare certain and uncertain expert systems supporting credit granting decisions, and stating which one is superior over another.

In this paper, all of the potential synthesis cases in distributed expert systems (DESs) are identiied based on the relationship between the original evidence sets of solutions, and the types of DESs are classiied based on the relationship of knowledge and available data of expert systems. The innovative ideas are that the relationships among the synthesis cases and the types of DESs are recogn...

This paper reviews two divergent approaches to the development and application of expert systems in manufacturing and suggests that AI researchers and system designers can more effectively contribute to manufacturing solutions by pursuing high performance design rather than reinforcing traditional technocentric assumptions.