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SNAP: Parallel Processing Applied to AI
May 1992 (vol. 25 no. 5)
pp. 39-49

It is argued that a viable solution for building future intelligent systems is to design special-purpose parallel computer architectures. The applications are restricted to those using semantic networks for knowledge representation. Reasoning on these networks is achieved with a marker-passing model of processing. The Semantic Network Array Processor (SNAP), a marker-passing parallel computer dedicated for natural-language and other knowledge-processing applications, is considered. Solutions for several nontrivial natural-language problems using the marker-passing approach are discussed.

Citation:
Dan Moldovan, Wing Lee, Changhwa Lin, Minhwa Chung, "SNAP: Parallel Processing Applied to AI," Computer, vol. 25, no. 5, pp. 39-49, May 1992, doi:10.1109/2.144394
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