SNAP: parallel processing applied to AI

ComputerPublished 1 May 1992

Dan Moldovan, W. Lee, C. Lin, Minhwan Chung

DOI10.1109/2.144394

Source URL

Citations25

SJR quartileQ2

SJR score0.55

SNIP1.02

TL;DR

It is argued that a viable solution for building future intelligent systems is to design special-purpose parallel computer architectures designed for natural-language and other knowledge-processing applications using a marker-passing model of processing.

Abstract

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.>

Keywords

Computer Science

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