The Community for Technology Leaders
Green Image
<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>
Dan Moldovan, Wing Lee, Changhwa Lin, Minhwa Chung, "SNAP: Parallel Processing Applied to AI", Computer, vol. 25, no. , pp. 39-49, May 1992, doi:10.1109/2.144394
96 ms
(Ver 3.3 (11022016))