JOURNAL ARTICLE

Hierarchical representation of problem-solving knowledge in a frame-based process planning system

Dana NauTien‐Chien Chang

Year: 1986 Journal:   International Journal of Intelligent Systems Vol: 1 (1)Pages: 29-44   Publisher: Wiley

Abstract

In most frame-based reasoning systems, the information being manipulated is represetned using frames, but the problem-solving knowledge that manipulates the frames is represented as production rules. One problem with this approach is that rules are not always a natrual way to represent knowledge; another is that systems containing lots of rules may suffer from problems with “exponetial blowup” in the amount of computation required. This paper describes a way to address these problems by organizing the problem-solving knowledge not as rules, but in a particular kind of frame hierarchy. the approach described in this paper has been implemented in a problem-solving system called SIPP (Semi-Intelligent Process Planner), which produces plans of action for the manufacture of metal parts. the paper gives an overview of SIPP, compares its knowledge representation and problem solving methods to approaches used in other knowledge-based systems, and describes goals for further research.

Keywords:
Frame (networking) Computer science Process (computing) Planner Knowledge representation and reasoning Representation (politics) Hierarchy Expert system Frame problem Artificial intelligence Action (physics) Knowledge-based systems

Metrics

25
Cited By
13.43
FWCI (Field Weighted Citation Impact)
14
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Manufacturing Process and Optimization
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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