Minimization in Digital Design as a Meta-Planning Problem

William P C Ho*, Jung Gen Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


In our model-based expert system for automatic digital system design, we formalize the design process into three sub-processes - compiling high-level behavioral specifications into primitive behavioral operations, grouping primitive operations into behavioral functions, and grouping functions into modules. Consideration of design minimization explicitly controls decision-making in the last two subprocesses. Design minimization, a key task in the automatic design of digital systems, is complicated by the high degree of interaction among the time sequence and content of design decisions. In this paper, we present an AI approach which directly addresses these interactions and their consequences by modeling the minimization problem as a planning problem, and the management of design decision-making as a meta-planning problem.

Original languageEnglish
Pages (from-to)386-390
Number of pages5
JournalProceedings of SPIE - The International Society for Optical Engineering
Publication statusPublished - 1987 May 11
Externally publishedYes

ASJC Scopus subject areas

  • Applied Mathematics
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering
  • Computer Science Applications


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