Handling Uncertainty in Artificial Intelligence

von Jyotismita Chaki

101 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

This book demonstrates different methods (as well as real-life examples) of handling uncertainty like probability and Bayesian theory, Dempster-Shafer theory, certainty factor and evidential reasoning, fuzzy logic-based approach, utility theory and expected utility theory. At the end, highlights will be on the use of these methods which can help to make decisions under uncertain situations. This book assists scholars and students who might like to learn about this area as well as others who may have begun without a formal presentation. The book is comprehensive, but it prohibits unnecessary mathematics.

• Reihe: SpringerBriefs in Applied Sciences and Technology
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI)
• ISBN: 9789819953325
• Sprache: Englisch
• Erscheinungsdatum: 07.08.2023
• Größe: 23.5 x 15.5 cm
• Verlag: Springer Singapore