Speeding Up Production Systems: From Concurrent Matching to Parallel Rule Firing* *This research is sponsored by Conselho Nacional de Pesquisas Cientificas e Tecnologicas - CNPq, Pontificia Universidade Catolica do Rio Grande do Sul - PUCRS, Brazil, and by a Faculty Development Award from TRW Foundation. We would like to acknowledge Jeffrey Draper and Michael McClung for their helpful comments. Please contact nelson@pine.ece.utexas.edu or ghosh@pine.ece.utexas.edu for comments or reprint requests.

Author:

Amaral José Nelson,Ghosh Joydeep

Publisher

Elsevier

Reference42 articles.

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2. F. Barachini and N. Theuretzbacher. The challenge of real-time process control for production systems. In Proceedings of National Conference on Artificial Intelligence, pages 705-709, August 1988.

3. R. Bechtel and M. C. Rowe. Parallel inference performance prediction. In Proceedings of the IEEE 1990 National Aerospace and Electronics Conference - NAECON, pages 21-25, May 1990.

4. J. M. Crawford and B. Kuipers. Towards a theory of access-limited logic for knowledge representation. In Proceedings of the First International Conference on Principles of Knowledge Representation and Reasoning, 1989.

5. C. L. Forgy. On the Efficient Implementations of Production Systems. PhD thesis, Carnegie Mellon University, Pittsburgh, PA, 1979.

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