Towards design and implementation of concurrent fuzzy systems with PCN

We present the prototype of a fuzzy library for the concurrent programming language PCN (C. Geiger et al., 1994). PCN (Parallel Composition Language) (I. Foster et al., 1992) is based on parallel logic programming (like Strand) and allows an easy formulation of parallel programs which can be executed on a heterogenous processor network. From our point of view this combination of fuzzy logic with parallelism offers at least two advantages. The parallel execution of large fuzzy rule based systems is much faster than the sequential case. This is due to the inherent parallelism which underlies such rule bases and the used inference mechanism. Additionally, the descriptive power of PCN allows an easy formulation of asynchronous systems, e.g. Petri nets. By this we get the basis of a modeling tool for rapid prototyping of such systems in which the system description (by the program) and the system simulation (by the execution of the program) are carried out in a common environment. We motivate these advantages by processing a rule base consisting of about 10000 rule tests and by modeling concepts of fuzzy Petri nets