A Model-Based Expert System For Digital Systems Design

J.G. Wu; W.P. C. Ho; Y. H Hu; D.Y. Y. Yun; T M Parng

doi:10.1117/12.940597

11 May 1987 A Model-Based Expert System For Digital Systems Design

J.G. Wu, W.P. C. Ho, Y. H Hu, D.Y. Y. Yun, T M Parng

Proceedings Volume 0786, Applications of Artificial Intelligence V; (1987) https://doi.org/10.1117/12.940597
Event: 1987 Technical Symposium Southeast on Optics, Electro-Optics, and Sensors, 1987, Orlando, FL, United States

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.

Citation Download Citation

J.G. Wu, W.P. C. Ho, Y. H Hu, D.Y. Y. Yun, and T M Parng "A Model-Based Expert System For Digital Systems Design", Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); https://doi.org/10.1117/12.940597

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