Paper
11 May 1987 A Comparative Study : Microprogrammed Vs Risc Architectures For Symbolic Processing
J. C. Heudin, C. Metivier, D. Demigny, T. Maurin, B. Zavidovique, F. Devos
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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.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
J. C. Heudin, C. Metivier, D. Demigny, T. Maurin, B. Zavidovique, and F. Devos "A Comparative Study : Microprogrammed Vs Risc Architectures For Symbolic Processing", Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); https://doi.org/10.1117/12.940670
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Cited by 1 scholarly publication.
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KEYWORDS
Artificial intelligence

Computing systems

Silicon

Very large scale integration

Computer architecture

Computer programming

Image processing

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