SNAP: parallel processing applied to AI

Author

Moldovan, Dan ; Lee, Wing ; Lin, Changhwa ; Chung, Minhwa

Author_Institution

Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA

Volume

25

Issue

5

fYear

1992

fDate

5/1/1992 12:00:00 AM

Firstpage

39

Lastpage

49

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

inference mechanisms; knowledge based systems; knowledge representation; natural languages; parallel architectures; parallel machines; SNAP; Semantic Network Array Processor; future intelligent systems; knowledge representation; knowledge-processing applications; marker-passing approach; marker-passing model; marker-passing parallel computer; natural-language; nontrivial natural-language problems; semantic networks; special-purpose parallel computer architectures; Application software; Artificial intelligence; Buildings; Computer architecture; Computer networks; Concurrent computing; Intelligent structures; Intelligent systems; Knowledge representation; Parallel processing;

fLanguage

English

Journal_Title

Computer

Publisher

ieee

ISSN

0018-9162

Type

jour

DOI

10.1109/2.144394

Filename

144394