Decomposition Strategies for Eliciting Expert Knowledge: Judgements of Dangerousness

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.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1988
Accession Number
ADA197913

Entities

People

  • Paul Slovic
  • Sarah Lichtenstein

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Behavioral Sciences
  • Classification
  • Expert Systems
  • High Reliability
  • Human Behavior
  • Judgment
  • New York
  • Personnel Management
  • Reliability
  • Security
  • Social Sciences
  • Statistical Analysis
  • Systems Science
  • Terrorists
  • Training

Readers

  • Artificial Intelligence
  • Operations Research
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.