CIS: a massively concurrent rule-based system

作者: Guy E. Blelloch

DOI:

关键词: Computer scienceSymbolic programmingImplementationTheoretical computer scienceRule-based systemComputational modelInference engineNetwork modelConcurrencyProgramming languageInference system

摘要: Recently researchers have suggested several computational models in which, one programs by specifying large networks of simple devices. Such are interesting because they go to the roots concurrency - circuit level. A problem with is that it unclear how program systems and expensive implement many features taken for granted symbolic programming languages. This paper describes Concurrent Inference System (CIS), its implementation on a massively concurrent network model computation. It shows much functionality current rule-based can be implemented straightforward manner within such models. Unlike conventional implementations which inference engine rule sets clearly divided at run time. CIS compiles rules into static very In this no longer distinct. The Thinking Machines Corporation, Connection Machine 65,536 processor SIMD computer then used network. On implementation, real time user system interaction possible up 100,000 rules.

参考文章(18)
Terrence J. Sejnowski, Scott E. Fahlman, Geoffrey E. Hinton, Massively parallel architectures for AI: netl, thistle, and boltzmann machines national conference on artificial intelligence. pp. 109- 113 ,(1983)
David S. Touretzky, Geoffrey E. Minton, Symbols among the neurons: details of a connectionist inference architecture international joint conference on artificial intelligence. pp. 238- 243 ,(1985)
John McDermott, R1: an expert in the computer systems domain national conference on artificial intelligence. pp. 269- 271 ,(1980)
Charles Forgy, Robert Wedig, Allen Newell, Anoop Gupta, Initial assessment of architectures for production systems national conference on artificial intelligence. pp. 116- 120 ,(1984)
Takeo Kakuta, Rikio Onai, Kunio Murakami, ARCHITECTURES AND HARDWARE SYSTEMS: PARALLEL INFERENCE MACHINE AND KNOWLEDGE BASE MACHINE. Future Generation Computer Systems. pp. 18- 36 ,(1984)
John Batali, Anne Hartheimer, The Design Procedure Language Manual ,(1980)
Simon Lowenfeld, Pamela Kleinosky, Mark S. Fox, Techniques for sensor-based diagnosis international joint conference on artificial intelligence. pp. 158- 163 ,(1983)
David E. Rumelhart, James L. McClelland, , Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations Computational Models of Cognition and Perception. ,(1986) , 10.7551/MITPRESS/5236.001.0001