Beyond Specificity

Abstract

A number of writers have suggested that specificity can be called upon to adjudicate competing default inferences. In the foundations of statistics, specificity is one of several ways to adjudicate the claims of competing reference classes. This suggests that in default inferences also other principles than specificity may be needed. This paper gives examples substantiating this suggestion, and provides formulations of the few other principles needed.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1989
Accession Number
ADA250536

Entities

People

  • Henry Kyburg Jr.

Organizations

  • University of Rochester

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Programs
  • Computing-Related Activities
  • Data Fusion
  • Data Science
  • Databases
  • Frequency
  • Information Processing
  • Information Science
  • Interdisciplinary Science
  • Mathematics
  • Probability
  • Specifications
  • Statistical Inference
  • Statistics

Readers

  • Artificial Intelligence
  • Canadian European Scientific Immigration and Epilepsy Clearance Studies
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference