Attribution Theory and Judgment under Uncertainty

Abstract

Research in two areas of human information processing--attribution theory and judgment under conditions of uncertainty--is characterized and compared. Differences in the picture of people's inferential ability which emerge from the two areas are highlighted and attributed, in part, to researchers' paradigmatic conventions. Ways to reduce the divergence of these two fundamentally complementary lines of investigation are suggested.

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Document Details

Document Type
Technical Report
Publication Date
Jun 13, 1975
Accession Number
ADA014128

Entities

People

  • Baruch Fischhoff

Organizations

  • Oregon Research Institute

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Applied Psychology
  • Bayesian Inference
  • Cognition
  • Department Of State
  • Error Analysis
  • Information Processing
  • Information Science
  • Judgment
  • Medical Personnel
  • New York
  • Probability
  • Psychology
  • Reasoning
  • Social Psychology
  • Social Sciences
  • Thinking
  • Training

Fields of Study

  • Psychology

Readers

  • Artificial Intelligence
  • Theoretical Analysis.