Design Rationale Capture as Knowledge Acquisition: Tradeoffs in the Design of Interactive Tools in Machine Learning

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KSL-91-47 +  redirect page

Design Rationale Capture as Knowledge Acquisition: Tradeoffs in the Design of Interactive Tools in Machine Learning +  Has identifier

Design Rationale Capture as Knowledge Acquisition: Tradeoffs in the Design of Interactive Tools in Machine Learning +  Ksl tr id

Design Rationale Capture as Knowledge Acquisition: Tradeoffs in the Design of Interactive Tools in Machine Learning

Bibtype  inproceedings

Has publishing details  1991

Has title  Design Rationale Capture as Knowledge Acquisition: Tradeoffs in the Design of Interactive Tools in Machine Learning

Has where published  Machine Learning: Proceedings of the Eighth International Workshop

Has year  1991

Title  Design Rationale Capture as Knowledge Acquisition: Tradeoffs in the Design of Interactive Tools in Machine Learning

Year  1991

Abstract  This paper introduces a panel to be held a This paper introduces a panel to be held at the Knowledge Acquisition Track of the Machine Learning Workshop (ML91). This panel will focus on the problem of acquiring design rationale knowledge from humans for later reuse. The design of tools for design rationale capture reveals several fundamental issues for knowledge acquisition, such as the relationships among formality and expressiveness of representations, and kinds of automated support for elicitation and analysis of knowledge. This paper sets the background for discussion by identifying dimensions of a design space for design rationale tools, and then includes position statements from each panelist arguing for various positions in this space. guing for various positions in this space.

Address  San Mateo, CA +

Author  Thomas R. Gruber and Catherine Baudin and John H. Boose and Jay C. Weber +

Booktitle  Machine Learning: Proceedings of the Eighth International Workshop +

Has author  Thomas R. Gruber and Catherine Baudin and John H. Boose and Jay C. Weber +

Has identifier  Design Rationale Capture as Knowledge Acquisition: Tradeoffs in the Design of Interactive Tools in Machine Learning +

Ksl tr id  Design Rationale Capture as Knowledge Acquisition: Tradeoffs in the Design of Interactive Tools in Machine Learning +

Process note  GOOGLE +

Publisher  Morgan Kaufmann +

Categories  InProceedings +, KSL Technical Report +, Publication +

 

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