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<p>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.</p>

D. Moldovan, W. Lee, C. Lin and M. Chung, "SNAP: Parallel Processing Applied to AI," in Computer, vol. 25, no. , pp. 39-49, 1992.
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