Investigations of Probabilistic Inference

Abstract

Reports first-year results of project, The Use of Protocol Analysis and Process Tracing Techniques to Investigate Probabilistic Inference. Research indicates that the most recently presented information is given more attention in situations that require the integration of information about expectancies with uncertain information about what is happening at present. In addition, subjects have difficulty distinguishing two types of conditional probability information, the reliability p(evidence/hypothesis) and the probability that the hypothesis is true if the evidence is observed, p(hypothesis/evidence).

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1990
Accession Number
ADA226882

Entities

People

  • Robert M. Hamm

Organizations

  • University of Colorado Boulder

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Classification
  • Cognitive Science
  • Drilling
  • Information Processing
  • Judgment
  • Mathematics
  • Military Research
  • Models
  • Probability
  • Psychology
  • Questionnaires
  • Reasoning
  • Reliability
  • Security
  • Social Sciences
  • Students
  • United States

Readers

  • Artificial Intelligence
  • Software Engineering
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference