Independence and Bayesian Updating Methods.

Abstract

Duda, Hart, and Nilsson have set forth a method for rule-based inference systems to use in updating the probabilities of hypotheses on the basis of multiple items of new evidence. Pednault, Zucker, and Muresan claimed to give conditions under which independence assumptions made by Duda et al, preclude updating - that is, prevent the evidence from altering the probabilities of the hypotheses. Glymour refutes Pednault et al.'s claim with a counterexample of a rather special form (one item of evidence is incompatible with all but one of the hypotheses); he raises, but leaves open, the question whether their result would be true with an added assumption to rule out such special cases. We show that their result does not hold even with the added assumption, but that it can nevertheless be largely salvaged. Namely, under the conditions assumed by Pednault et al., at most one of the items of evidence can alter the probability of any given hypothesis; thus, although updating is possible, multiple updating for any of the hypotheses is precluded. Keywords: Expert system; Rule-based system; Bayesian; Probability updating.

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Document Details

Document Type
Technical Report
Publication Date
Nov 06, 1985
Accession Number
ADA161863

Entities

People

  • Wayne Johnson

Organizations

  • United States Naval Research Laboratory

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DTIC Thesaurus Topics

  • Availability
  • Classification
  • Computer Science
  • Computers
  • Expert Systems
  • Hypotheses
  • Information Systems
  • Mathematics
  • Military Research
  • Probability
  • Probability Distributions
  • Random Variables
  • Rule Based Systems
  • Security

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  • Artificial Intelligence
  • Military History
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference