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  5. Decomposition Strategies for Eliciting Expert Knowledge: Judgements of Dangerousness

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Report
en
1988

Decomposition Strategies for Eliciting Expert Knowledge: Judgements of Dangerousness

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en
1988
DOI: 10.21236/ada197913

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Paul Slovic
Paul Slovic

University Of Oregon

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Sarah Lichtenstein
Paul Slovic

Abstract

Abstract : This research note discusses one important finding from decision aiding research, that people often have relevant knowledge that they do not use effectively when making a judgement or decision. Research has shown, however, that simple 'wholistic' judgements can be improved upon through an approach that breaks up or decomposes the problem into a series of sub-problems, or components, each of which can be understood more easily and judged separately. The components are the assembled according to a logically prescribed set of combination rules to yield a solution, estimate, or prediction. In the present paper, we outline how a decomposition approach may help a large consortium of expert judges to utilize their own knowledge base more effectively, in an extremely difficult and important judgement task -- (the task examined is assessment of dangerousness among people who have threatened to assassinate the President of the United States). Keywords: Decomposition principles, Knowledge elicitation, Decision analysis, Expert judgements, Problem solving.

How to cite this publication

Sarah Lichtenstein, Paul Slovic (1988). Decomposition Strategies for Eliciting Expert Knowledge: Judgements of Dangerousness. , DOI: https://doi.org/10.21236/ada197913.

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Publication Details

Type

Report

Year

1988

Authors

2

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.21236/ada197913

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