Interval-Based Decisions for Reasoning Systems

Abstract

This essay tries to expound a conception of interval measures that permits a particular approach to partial ignorance decision problems. The virtue of this approach for artificial reasoning systems is that the following questions become moot: (1) which secondary criterion to the approach is the need for explicit epistemological foundations: for instance, a rule of acceptance with a parameter that allow various attitudes toward error. Note that epistemological foundations are already desirable for independent reasons.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1989
Accession Number
ADA250540

Entities

People

  • Henry Kyburg Jr.
  • Jerome Feldman
  • Ronald Loui

Organizations

  • University of Rochester

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computational Science
  • Computer Science
  • Convex Sets
  • Data Fusion
  • Decision Theory
  • Expert Systems
  • Fuzzy Sets
  • Information Retrieval
  • Intervals
  • Judgment
  • Probability
  • Probability Distributions
  • Reasoning
  • Sequences
  • Two Dimensional
  • Uncertainty

Readers

  • Mathematical Modeling and Probability Theory.
  • Systems Analysis and Design
  • Theoretical Analysis.