| Abstract
|
We present a representation of partial con … We present a representation of partial confidence in belief and preference that is consistent with the tenets of decision-theory. The fundamental insight underlying the representation is that if a person is not completely confident in a probability or utility assessment, additional modeling of the assessment may improve decisions to which it is relevant. We show how a traditional decision-analytic approach can be used to balance the benefits of additional modeling with associated costs. The approach can be used during knowledge acquisition to focus the attention of a knowledge engineer or expert on parts of a decision model that deserve additional refinement. model that deserve additional refinement.
|
| Author
|
David Heckerman +,
Holly Brügge Jimison +
|
| Bibtype
|
techreport +
|
| Institution
|
Knowledge Systems, AI Laboratory +
|
| Key
|
KSL-89-59 +
|
| Modification dateThis property is a special property in this wiki.
|
1 May 2009 13:38:12 +
|
| Number
|
KSL-89-59 +
|
| Tag
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Computer science +
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| Title
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A Bayesian Perspective in Confidence +
|
| Tr id
|
KSL-89-59 +
|
| Year
|
1989 +
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| Categories |
Technical Report,
Publication,
KSL Technical Report
|
