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Proceedings Paper

A Comparative Study : Microprogrammed Vs Risc Architectures For Symbolic Processing
Author(s): J. C. Heudin; C. Metivier; D. Demigny; T. Maurin; B. Zavidovique; F. Devos
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Paper Abstract

It is oftenclaimed that conventional computers are not well suited for human-like tasks : Vision (Image Processing), Intelligence (Symbolic Processing) ... In the particular case of Artificial Intelligence, dynamic type-checking is one example of basic task that must be improved. The solution implemented in most Lisp work-stations consists in a microprogrammed architecture with a tagged memory. Another way to gain efficiency is to design a well suited instruction set for symbolic processing, which reduces the semantic gap between the high level language and the machine code. In this framework, the RISC concept provides a convenient approach to study new architectures for symbolic processing. This paper compares both approaches and describes our projectof designing a compact symbolic processor for Artificial Intelligence applications.

Paper Details

Date Published: 11 May 1987
PDF: 8 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940670
Show Author Affiliations
J. C. Heudin, SODIMA/IEF (FRance)
C. Metivier, SODIMA/IEF (France)
D. Demigny, IEF (France)
T. Maurin, IEF (France)
B. Zavidovique, ADFAC/ETCA (France)
F. Devos, IEF (France)

Published in SPIE Proceedings Vol. 0786:
Applications of Artificial Intelligence V
John F. Gilmore, Editor(s)

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