De Finett's Approach to Group Decision Making.

Abstract

A group of Bayesians must make a group decision; e.g., choose one of two final actions. De Finetti considered group decision making, relative to a special sequential decision problem, when all individuals have the same loss function but different opinions. In particular, he defined the individual horizon and the common horizon relative to a given group decision role such as a voting rule. He characterized voting rules as an average of decisions and argued that it is better for the group to use an average of opinions. Keywords: Bayesian statistics, Decision theory, Sequential analysis, Voting rules.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1987
Accession Number
ADA188074

Entities

People

  • Fabio Spizzichino
  • Richard E. Barlow
  • Sergio Wechsler

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Bayesian Networks
  • Decision Theory
  • Discrete Distribution
  • Military Research
  • Numbers
  • Observation
  • Operations Research
  • Probabilistic Models
  • Probability
  • Probability Distributions
  • Random Variables
  • Real Numbers
  • Sampling
  • Scientific Research
  • Sequential Analysis
  • Statistics

Readers

  • Artificial Intelligence
  • Mathematical Modeling and Probability Theory.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms