BAYESIAN DECISION THEORY, GAME THEORY AND GROUP PROBLEM SOLVING

Abstract

The concepts of the 'ideal' information processor and rational decision maker are applied to a typical problem in social psychology--that of group problem solving. The structure of the selected task is seen to be that of a nonzero sum game. A strategy is derived and is shown to be the equivalent of the Nash solution to the game. The notion of level of aspiration is discussed and defined within the analysis and two theorems are proved relating level of aspiration to type of group decision strategy employed.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1964
Accession Number
AD0614683

Entities

People

  • David M. Messick

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Air Force
  • Classification
  • Contracts
  • Decision Theory
  • Game Theory
  • Governments
  • Information Processing
  • Mathematical Models
  • Models
  • New York
  • North Carolina
  • Probability
  • Probability Distributions
  • Security
  • Social Psychology
  • United States
  • Zero-Sum Games

Readers

  • Artificial Intelligence
  • Game Theory.
  • Mathematical Modeling and Probability Theory.

Technology Areas

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