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Artificial Intelligence with Uncertainty PDF

378 Pages·2007·10.058 MB·English
by  Deyi LiYi Du
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by Deyi Li, Yi Du| 2007| 378 pages| 10.058| English

About Artificial Intelligence with Uncertainty

The information deluge currently assaulting us in the 21st century is having a profound impact on our lifestyles and how we work. We must constantly separate trustworthy and required information from the massive amount of data we encounter each day. Through mathematical theories, models, and experimental computations, Artificial Intelligence with Uncertainty explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings. The authors focus on the importance of natural language-the carrier of knowledge and intelligence-for artificial intelligence (AI) study.This book develops a framework that shows how uncertainty in AI expands and generalizes traditional AI. It describes the cloud model, its uncertainties of randomness and fuzziness, and the correlation between them. The book also centers on other physical methods for data mining, such as the data field and knowledge discovery state space. In addition, it presents an inverted pendulum example to discuss reasoning and control with uncertain knowledge as well as provides a cognitive physics model to visualize human thinking with hierarchy.With in-depth discussions on the fundamentals, methodologies, and uncertainties in AI, this book explains and simulates human thinking, leading to a better understanding of cognitive processes.

Detailed Information

Author:Deyi Li, Yi Du
Publication Year:2007
ISBN:9781584889991
Pages:378
Language:English
File Size:10.058
Format:PDF
Price:FREE
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