A Problem-Solving Model for Episodic Skeletal-Plan Refinement

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Citation: Samson W. Tu and Yuval Shahar and John Dawes and James Winkles and Angel R. Puerta and Mark A. Musen. (1991) A Problem-Solving Model for Episodic Skeletal-Plan Refinement. In KSL-91-22, 1991.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Samson W. Tu and Yuval Shahar and John Dawes and James Winkles and Angel R. Puerta and Mark A. Musen
title A Problem-Solving Model for Episodic Skeletal-Plan Refinement
number KSL-91-22
institution Knowledge Systems, AI Laboratory
year 1991
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abstract PROTEGE is a metalevel program that generates knowledge-acquisition tools that are based on the method of skeletal-plan-refinement. In this paper, we propose a flexible and extensible architecture that allows the problem-solving method to be assembled from more basic methods. In this architecture, we emphasize (1) a uniform view of problem solving at different levels of granularities, (2) an explicit data model that allows construction of complex datatypes from predefined datatypes, (3) the inclusion of domain-dependent control information within a domain-independent problem-solving method. We show how such a model of problem solving can drive the generation of knowledge-acquisition tools.

KSL Technical Report ID: KSL-91-22
Facts about A Problem-Solving Model for Episodic Skeletal-Plan RefinementRDF feed
Abstract PROTEGE is a metalevel program that genera PROTEGE is a metalevel program that generates knowledge-acquisition tools that are based on the method of skeletal-plan-refinement. In this paper, we propose a flexible and extensible architecture that allows the problem-solving method to be assembled from more basic methods. In this architecture, we emphasize (1) a uniform view of problem solving at different levels of granularities, (2) an explicit data model that allows construction of complex datatypes from predefined datatypes, (3) the inclusion of domain-dependent control information within a domain-independent problem-solving method. We show how such a model of problem solving can drive the generation of knowledge-acquisition tools. generation of knowledge-acquisition tools.
Author Samson W. Tu and Yuval Shahar and John Dawes and James Winkles and Angel R. Puerta and Mark A. Musen  +
Bibtype techreport  +
Has author Samson W. Tu and Yuval Shahar and John Dawes and James Winkles and Angel R. Puerta and Mark A. Musen  +
Has identifier KSL-91-22  +
Has publishing details 1991  +
Has title A Problem-Solving Model for Episodic Skeletal-Plan Refinement  +
Has where published KSL-91-22  +
Has year 1991  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-91-22  +
Number KSL-91-22  +
Process note YES  +
Title A Problem-Solving Model for Episodic Skeletal-Plan Refinement  +
Year 1991  +
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