W.T. Tsai Integration of the production system based reasoning paradigm and relational databases is an approach to building large scale knowledge bases.
Parallel processing is a promising solution to the computational demands of such systems.
Careful selection of productions to execute is a cruial determinant of the speed-up attainable in parallel production systems. The results of a simulation based performance evaluation for a shared memory multiprocessor environment are presented. The degree of data conflict has a significant impact on parallelizing production systems.