Artificial Intelligence with Uncertainty, Second Edition

Deyi Li, Yi Du

May 8, 2017 by CRC Press
Reference - 290 Pages - 151 B/W Illustrations
ISBN 9781498776264 - CAT# K29722

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  • Focuses on natural language, the carrier of knowledge and intelligence to study uncertainty in AI
  • Presents a cloud model illustrating the uncertain mechanism during the transformation between qualitative concepts and quantitative values
  • Demonstrates how the data field can be used in the clustering of data mining and complex network study
  • Explores the emergence of swarm intelligence based on cloud model and data field
  • Illustrates theories and concepts with applications like automatic driving, image segmentation, etc.


This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and introduce efficient physical methods for data mining amd control. In this new edition, we have more in-depth description of the models and methods, of which the mathematical properties are proved strictly which make these theories and methods more complete. The authors also highlight their latest research results.


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