Admissibility of Possibility Functions and Other Non-Probability Functions in Lindley's Extension of the Definetti-Savage Uncertainty Game

Abstract

One of the key problems remaining in the design of an expert system-- as well as in Artificial Intelligence models in general--is what uncertainty function or measure is most appropriate to use. Should one choose a Dempster- Shafer, fuzzy set, or classical probability approach, among a myriad number of possibilities? The purpose of this paper is twofold: First, to clarify Lindley's extension of the dutch book argument for probability and related functions over the choice of other possible uncertainty functions. Second, to show that Lindley's conclusions concerning the inadmissibility of possibility functions and Dempster-Shafer functions were patently incorrect in general. All of this is accomplished by, one and for all, placing the problem within a rigorous game theoretic setting.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1992
Accession Number
ADA262984

Entities

People

  • I. R. Goodman

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Boolean Algebra
  • Congress
  • Expert Systems
  • Fuzzy Sets
  • Game Theory
  • Governments
  • Intelligent Systems
  • Knowledge Based Systems
  • Language
  • New York
  • Ocean Surveillance
  • Probability
  • Random Variables
  • Set Theory
  • Theorems
  • Uncertainty

Readers

  • Artificial Intelligence
  • Regression Analysis.
  • Statistical inference.

Technology Areas

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