Discounting in Multicausal Attribution: The Principle of Minimal Causation

Abstract

A series of three experiments investigated the effect of information about one possible cause of an event on inferences regarding another possible cause. Experiment 1 showed that the presence of a second possible cause had no effect on the perceived probability that the first possible cause influenced the event. However, if the second cause is cited as having definitely influenced the event, then the probability that the first possible cause influenced the event is reduced. Experiment 2 showed that the presence of a second possible cause does reduce the judged probability that a given cause was present at the time of an event. The final experiment revealed that the tendency (found in Experiment 1) to discount the involvement of the first cause given the involvement of a second cause diminishes when subjects were more highly motivated and confronted with their own discounting. These results are inconsistent with Kelley's account of discounting and provide some support for a proposed explanatory heuristic, the principle of minimal causation. Users of this principle analyze a situation until they have identified a minimal set of sufficient causes; other possible causes are ignored or dismissed.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1978
Accession Number
ADA065142

Entities

People

  • Baruch Fischhoff
  • Harriet Shaklee

Tags

Communities of Interest

  • Biomedical
  • C4I

DTIC Thesaurus Topics

  • Applied Psychology
  • Behavioral Sciences
  • Biological Sciences
  • Causal Reasoning
  • Command And Control
  • Engineering
  • Human Factors Engineering
  • Military Research
  • Political Science
  • Psychology
  • Reasoning
  • Social Psychology
  • Social Sciences
  • Students
  • Systems Engineering
  • United States Military Academy
  • War Colleges

Fields of Study

  • Psychology

Readers

  • Life Cycle Cost Analysis
  • Organizational Psychology.
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference