| Abstract
|
This paper introduces a panel to be held a … This paper introduces a panel to be held at the Knowledge Acquisition Track ofthe Machine Learning Workshop (ML91). This panel will focus on the problem ofacquiring design rationale knowledge from humans for later reuse. The designof tools for design rationale capture reveals several fundamental issues forknowledge acquisition, such as the relationships among formality andexpressiveness of representations, and kinds of automated support forelicitation and analysis of knowledge. This paper sets the background fordiscussion by identifying dimensions of a design space for design rationaletools, and then includes position statements from each panelist arguing forvarious positions in this space. rguing forvarious positions in this space.
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| Address
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San Mateo, CA +
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| Author
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Thomas R. Gruber +,
Catherine Baudin +,
John H. Boose +,
Jay C. Weber +
|
| Bibtype
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inproceedings +
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| Booktitle
|
Machine Learning: Proceedings of the Eighth International Workshop +
|
| Key
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KSL-91-47 +
|
| Modification dateThis property is a special property in this wiki.
|
1 May 2009 14:06:13 +
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| Publisher
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Morgan Kaufmann +
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| Tag
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Computer science +
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| Title
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Design Rationale Capture as Knowledge Acquisition: Tradeoffs in the Design of Interactive Tools in Machine Learning +
|
| Tr id
|
KSL-91-47 +
|
| Year
|
1991 +
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| Categories |
Proceeding Paper,
Publication,
KSL Technical Report
|
