The evidential foundations of probabilistic reasoning

Author(s)

• Schum, David A.

Bibliographic Information

The evidential foundations of probabilistic reasoning

David A. Schum

（Wiley series in systems engineering）

J. Wiley, c1994

• : alk. paper

Note

"A Wiley-Interscience publication."

Includes bibliographical references (p. 515-530) and indexes

Description and Table of Contents

Description

Inference, the basis for human and machine information processing, leads to decision-making in all situations involving probabilistic reasoning. This study applies the basis of this subject to the field of artificial intelligence, providing a balanced view of different approaches.

Table of Contents

• Discourse on Evidence
• The Study of Evidence
• STRUCTURAL ISSUES I: Studying the Properties of Evidence
• STRUCTURAL ISSUES II: Inferences Based Upon a Mass of Evidence
• On the Inferential Force of Evidence
• The Analysis of Evidential Properties and Subtleties
• Analyses of Isolated Items of Evidence
• Analyses of Recurrent Combinations of Evidence
• Discovery and the Generation of Evidence
• End of Discourse.

by "Nielsen BookData"

Details

• NCID: BA23515783
• ISBN:
  • 047157936X
• LCCN: 93035633
• Country Code: us
• Title Language Code: eng
• Text Language Code: eng
• Place of Publication: New York
• Pages/Volumes: xviii, 545 p.
• Size: 25 cm
• Classification:
  • LCC : BC171
  • DC20 : 121/.65
• Subject Headings:
  • LCSH : Evidence
  • LCSH : Inference
  • LCSH : Probabilities
• Parent Bibliography ID:
  • BA10838688