Potential Ways for Developing Synthesis Strategies in Distributed Expert Systems

This paper introduces three methods for solution synthesis in distributed expert systems (DESs). This paper also demonstrates different strategies which are a neural network strategy, and a case-based strategy. Furthermore, these strategies are compared based on the design principles and performances. This research is to study different methods for designing synthesis strategies and offers guidelines for selecting a suitable method for solution synthesis in different synthesis cases. 1 Introduction Generally, most distributed expert systems (DESs) concentrate on producing a cooperative solution to a problem by using both artificial intelligence and distributed problem solving techniques [1, 4]. In a distributed expert system (DES), a task may be allocated to more than one expert system (ES) to solve in order to increase the reliability of the solution [1, 3, 8]. In such a case, each ES will obtain an individual solution. These solutions from different expert systems (ESs) could be sa..