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.
Additional ISBNs
9786611095444, 9781281095442, 6611095446, 1281095443
Artificial Intelligence with Uncertainty Ebook
By: Deyi Li
Publisher:
Chapman and Hall/CRC
Print ISBN: 9781584889984, 1584889985
eText ISBN: 9781584889991, 1584889993
Edition: 1st
Copyright year: 2007
Format: PDF
Available from $ 23.18 USD
SKU: 9781584889991R90
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