| 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 +,
Yuval Shahar +,
John Dawes +,
James Winkles +,
Angel R. Puerta +,
Mark A. Musen +
|
| Bibtype
|
techreport +
|
| Institution
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Knowledge Systems, AI Laboratory +
|
| Key
|
KSL-91-22 +
|
| Modification dateThis property is a special property in this wiki.
|
1 May 2009 14:03:03 +
|
| Number
|
KSL-91-22 +
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| Tag
|
Computer science +
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| Title
|
A Problem-Solving Model for Episodic Skeletal-Plan Refinement +
|
| Tr id
|
KSL-91-22 +
|
| Year
|
1991 +
|
| Categories |
Technical Report,
Publication,
KSL Technical Report
|
