Control requirements for the design of production system architectures
Abstract
Programs in the artificial intelligence domain impose unusual requirements on control structures. Production systems are a control structure with promising attributes for building, generally intelligent systems with large knowledge bases. This paper presents examples to illustrate the unusual position taken by production systems on a number of control and pattern-matching issues. Examples are chosen to illustrate certain powerful features and to provide critical tests which might be used to evaluate the effectiveness of new designs.
References
[1]
Bobrow, D. G. and Raphael, B. R., 1974. "New programming languages for artificial intelligence research", Computing Surveys, Vol. 6:3, pp. 153-174.
[2]
Buchanan, B. G. and Sridharan, N. S., 1973. "Analysis of behavior of chemical molecules: Rule formation on non-homogeneous classes of objects", Proc. Third International Joint Conference on Artificial Intelligence, pp. 67-76. Also Stanford Al Memo 215, Stanford University Computer Science Department.
[3]
Davis, R., Buchanan, B. and Shortliffe, E., 1975. "Production rules as a representation for a knowledge-based consultation program", Report STAN-CS-75-519, Memo AIM-266. Stanford, CA: Stanford University, Computer Science Department.
[4]
Davis, R. and King, J., 1975. "An overview of production systems", Report STAN-CS-75-524, Memo AIM-271. Stanford, CA: Stanford University, Computer Science Department.
[5]
Ivans, A., 1964. "An ALGOL 60 compiler", in Goodman, R., Ed., Annual Review of Automatic Programming, Vol. 4, pp. 87-124. New York, NY: Pergamon Press.
[6]
Forgy, C. and McDermott, J., 1976. "The OPS reference manual", Pittsburgh, PA: Carnegie-Mellon University, Department of Computer Science.
[7]
McDermott, J. and Forgy, C., 1977. "Production system conflict resolution strategies", in D. A. Waterman and F. Hayes-Roth, Eds., Pattern-Directed Inference Systems, New York, NY: Academic Press. Forthcoming.
[8]
Minsky, M., 1967. Computation: Finite and Infinite Machines, Englewood Cliffs, NJ: Prentice-Hall. Chapter 12.
[9]
Newell, A., 1972. "A theoretical exploration of mechanisms for coding the stimulus", in Mellon, A. W. and Martin, E., Eds., Coding Processes in Human Memory, pp. 373-434. Washington, DC: Winston and Sons.
[10]
Newell, A. and Simon, H. A., 1972. Human Problem Solving, Englewood Cliffs, NJ: Prentice-Hall.
[11]
Rychener, M. D., 1976. "Production systems as a programming language for artificial intelligence, applications", Pittsburgh, PA: Carnegie-Mellon University, Department of Computer Science.
[12]
Waterman, D. A., 1970. "Generalization learning techniques for automating the learning of heuristics", Al, Vol. 1, pp. 121-170.
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- Control requirements for the design of production system architectures
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Proceedings of the 1977 symposium on Artificial intelligence and programming languagesPrograms in the artificial intelligence domain impose unusual requirements on control structures. Production systems are a control structure with promising attributes for building, generally intelligent systems with large knowledge bases. This paper ...
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Copyright © 1977 Author.
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Association for Computing Machinery
New York, NY, United States
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Published: 01 August 1977
Published in SIGPLAN Volume 12, Issue 8
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