A Methodology for Uncertainty in Knowledge-Based Systems

1990
ISBN: 978-3-540-52336-9
Verlag: Springer Berlin Heidelberg

Buch, Englisch, 310 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 236 g

Reihe: Lecture Notes in Artificial Intelligence

In this book the consequent use of probability theory is proposed for handling uncertainty in expert systems. It is shown that methods violating this suggestion may have dangerous consequences (e.g., the Dempster-Shafer rule and the method used in MYCIN). The necessity of some requirements for a correct combining of uncertain information in expert systems is demonstrated and suitable rules are provided. The possibility is taken into account that interval estimates are given instead of exact information about probabilities. For combining information containing interval estimates rules are provided which are useful in many cases.

Zielgruppe

Research

Autoren/Hrsg.

Pöhlmann, Sigrid

Weichselberger, Kurt

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik

Inhaltsverzeichnis

The aims of this study.- Interval estimation of probabilities.- Related theories.- The simplest case of a diagnostic system.- Generalizations.- Interval estimation of probabilities in diagnostic systems.- A demonstration of the use of interval estimation.