Epistemological Relevance and Statistical Knowledge

Abstract

For many years, at least since McCarthy and Hayes (1969), writers have lamented, and attempted to compensate statistical knowledge for governing the uncertainty of belief, for making uncertain inference, and the like. It is hardly ever spelled out what 'adequate statistical knowledge' would be, if we had it, and how adequate statistical knowledge could be used to control and regulate epistemic-uncertainty. One response to lack of adequate statistics has been to search for non-statistical measures of uncertainty. The minimal variant has been to propose 'subjective probability' as a concept to which we can turn when we lack statistics.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1986
Accession Number
ADA250144

Entities

People

  • Henry E. Kyburg Jr.

Organizations

  • University of Rochester

Tags

DTIC Thesaurus Topics

  • Data Science
  • Frequency
  • Information Science
  • Language
  • Literature
  • Probability
  • Statistics
  • Uncertainty
  • Universities

Fields of Study

  • Mathematics

Readers

  • Artificial Intelligence
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy