A problem-solving model for episodic skeletal-plan refinement

Samson W. Tu; Yuval Shahar; John Dawes; James Winkles; Angel R. Puerta; Mark A. Musen

doi:10.1016/1042-8143(92)90026-W

A problem-solving model for episodic skeletal-plan refinement

Samson W. Tu
, Yuval Shahar
, John Dawes
, James Winkles
, Angel R. Puerta
, Mark A. Musen

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

PROTÉGÉ is a meta-level 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 granularity, (2) an explicit data model that allows construction of complex datatypes from predefined datatypes and (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.

Original language	English
Pages (from-to)	197-216
Number of pages	20
Journal	Knowledge Acquisition
Volume	4
Issue number	2
DOIs	https://doi.org/10.1016/1042-8143(92)90026-W
State	Published - 1 Jan 1992
Externally published	Yes

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10.1016/1042-8143(92)90026-W

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title = "A problem-solving model for episodic skeletal-plan refinement",

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doi = "10.1016/1042-8143(92)90026-W",

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AU - Shahar, Yuval

AU - Dawes, John

AU - Winkles, James

AU - Puerta, Angel R.

AU - Musen, Mark A.

PY - 1992/1/1

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EP - 216

JO - Knowledge Acquisition

JF - Knowledge Acquisition

IS - 2

ER -

A problem-solving model for episodic skeletal-plan refinement

Abstract

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