@article{5e75ed02a9a84fcd93f8b1396e5c0e03,
title = "A problem-solving model for episodic skeletal-plan refinement",
abstract = "PROT{\'E}G{\'E} 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.",
author = "Tu, {Samson W.} and Yuval Shahar and John Dawes and James Winkles and Puerta, {Angel R.} and Musen, {Mark A.}",
note = "Funding Information: This work has been supported in part by grant LM05157 from the National Library of Medicine, by grant HS06330 from the Agency for Health Care Policy and Research, by a grant from the Institute for Biological and Clinical Investigation at Stanford University and by a gift from Digital Equipment Corporation . Computer support was provided in part by grant RR05353 from the Biomedical Research Support Grant Program of the National Institute of Health and by the SUMEX-AIM resource, supported by grant LM05208 from the National Library of Medicine,, John Egar and Josef Schreiner have contributed greatly to our new design for PROTEGE and have provided valuable comments on previous drafts of the paper . Lyn Dupre edited the manuscript and saved the first author from many grammatical and stylistic embarrassments . Copyright: Copyright 2014 Elsevier B.V., All rights reserved.",
year = "1992",
month = jan,
day = "1",
doi = "10.1016/1042-8143(92)90026-W",
language = "English",
volume = "4",
pages = "197--216",
journal = "Knowledge Acquisition",
issn = "1042-8143",
publisher = "Academic Press",
number = "2",
}