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Proceedings Paper

A Model-Based Expert System For Digital Systems Design
Author(s): J.G. Wu; W.P. C. Ho; Y. H Hu; D.Y. Y. Yun; T M Parng
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Paper Abstract

In this paper, we present a model-based expert system for automatic digital systems design. The goal of digital systems design is to generate a workable and efficient design from high level specifications. The formalization of the design process is a necessity for building an efficient automatic CAD system. Our approach combines model-based, heuristic best-first search, and meta-planning techniques from AI to facilitate the design process. The design process is decomposed into three subprocesses. First, the high-level behavioral specifications are translated into sequences of primitive behavioral operations. Next, primitive operations are grouped to form intermediate-level behavioral functions. Finally, structural function modules are selected to implement these functions. Using model-based reasoning on the primitive behavioral operations level extends the solution space considered in design and provides more opportunity for minimization. Heuristic best-first search and meta-planning tech-niques control the decision-making in the latter two subprocesses to optimize the final design. They also facilitate system maintenance by separating design strategy from design knowledge.

Paper Details

Date Published: 11 May 1987
PDF: 8 pages
Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940597
Show Author Affiliations
J.G. Wu, Southern Methodist University (United States)
W.P. C. Ho, Southern Methodist University (United States)
Y. H Hu, Southern Methodist University (United States)
D.Y. Y. Yun, Southern Methodist University (United States)
T M Parng, National Taiwan University (Taiwan)

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

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