Handling Uncertainty in Artificial Intelligence

£44.99

Handling Uncertainty in Artificial Intelligence

Algorithms and data structures Artificial intelligence

Author: Jyotismita Chaki

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Collection: SpringerBriefs in Applied Sciences and Technology

Language: English

Published by: Springer

Published on: 6th August 2023

Format: LCP-protected ePub

ISBN: 9789819953332


Overview

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.

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