Design plan generation through constraint compilation:

Abstract: "The goal of this research is to consider constraints as a sophisticated representation of knowledge and to improve the efficiency of the constraint-based problem solving mechanism. As the first step, we propose to generate design plans by knowledge compilation. For this we need to cl...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Nagai, Yasuo (VerfasserIn), Ikoma, Kenji (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Tokyo, Japan 1989
Schriftenreihe:Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical memorandum 745
Schlagworte:
Zusammenfassung:Abstract: "The goal of this research is to consider constraints as a sophisticated representation of knowledge and to improve the efficiency of the constraint-based problem solving mechanism. As the first step, we propose to generate design plans by knowledge compilation. For this we need to clarify the architecture of expert systems for various types of design [27] such as circuit design [19,20,32], mechanical design [13,23,24], and configuration [21]. Therefore, we discuss the technical issues from the viewpoint of knowledge representation and problem solving. In particular, we regard constraints as a suitable knowledge representation paradigm different from rule and frame representations, and constraint-based problem solving as a suitable new problem solving paradigm
We propose primitive tasks for the constraint-based problem solving mechanism, based on the design process model. We define routine design and discuss the expert system architectures for design problems and the necessary functions for solving them. Furthermore we consider constraints as a sophisticated knowledge representation and study efficient problem solving for constraint processing. This paper reports on the basic concepts of knowledge compilation, on knowledge compilation for design problems, and on design plan generation through this method, using constraint representation and constraint-based problem solving
Beschreibung:21 S.

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