Discovery of Asynchronous Concurrent Models from Experimental Tables

Abstract

The synthesis problem of concurrent systems has earlier been discussed in the literature using different types of formalisms. This paper presents a new method for discovery of asynchronous concurrent models from experimental tables by using a rough set approach. The proposed method can be applied to the automatic data model discovery. The algorithm for constructing asynchronous concurrent models is described in detail. As a model for concurrency the Coloured Petri Nets are used. Constructed asynchronous models can be helpful to solving some problems arising in design of asynchronous digital systems or addressing of nodes in parallel systems. An example illustrates an application of the proposed approach in such problems.