Probability Based Models

  • Rudolf Kruse
  • Erhard Schwecke
  • Jochen Heinsohn
Part of the Artificial Intelligence book series (AI)

Abstract

As argued in the preceding parts of this book, probability theory offers a theoretically sound model for representing uncertainty and for considering it in reasoning techniques. Just in the last few years a revival of using probability theory in representing uncertainty has taken place. It was given considerable insight into the application of probability theory and pointed out some misconceptions about its applicability. Also, new theoretical results from statistics and probability theory present arguments for the utility of probabilities for reasoning.

Keywords

Entropy Nickel Propa Uranium Neuropathy 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Rudolf Kruse
    • 1
  • Erhard Schwecke
    • 1
  • Jochen Heinsohn
    • 2
  1. 1.Department of Computer ScienceTechnical University of BraunschweigBraunschweigGermany
  2. 2.German Research Center for Artificial Intelligence (DFKI)Saarbrücken 11Germany

Personalised recommendations