Ambiguity and Competitive Decision Making: Some Implications and Tests. Revision

Abstract

Contrary to most formal models of decision making under risk and uncertainty that are built on the basis of prescriptive behavioral principles or axioms, this paper derives a descriptive model of decision making under ambiguity based on principles of behavior, i.e., principles that describe how people behave as opposed to how they should behave. The model assumes that people evaluate the impact of ambiguous probabilities by first anchoring on a given value of the unknown probability and then adjusting this by the net effect of imagining or trying out other values the probability could take. The mental simulation process incorporates giving differential weight to the ranges of probability values above and below the anchor where such weight reflects individual and situational variables. In particular, the assumption that people are cautious as opposed to reckless in making decisions, leads to attributing more weight to possible values of probabilities below the anchor when considering potential gains, and the reverse when faced with potential losses.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1988
Accession Number
ADA196149

Entities

People

  • Robin M. Hogarth

Organizations

  • University of Chicago

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Commerce
  • Contracts
  • Economics
  • Engineering
  • Human Factors Engineering
  • Industrial Equipment
  • Military Research
  • Money
  • New York
  • North Carolina
  • Operations Research
  • Probability
  • Psychology
  • Simulations
  • Social Sciences
  • Students
  • United States

Fields of Study

  • Psychology

Readers

  • Artificial Intelligence
  • Asian Economic Studies
  • Computational Modeling and Simulation