Generalized Nets as an Instrument for Description of the Process of Expert System Construction

Abstract

The development of an expert system is a parallel process, involving the cycle of knowledge acquisition and representation, programming, testing, verification and validation of results, and so on. Generalized net models have been developed that describe the process of functioning and machine learning of expert systems. With the aid of GN, some ways for presenting the functioning and results of an ES from the type of rule-based production system are described. In this paper a reduced GN is used for process of expert system construction representation. The GN-model includes methodology for expert system development as well as interactions between the participants in the process