
Artificial Intelligence with Uncertainty
1st Edition
Published on 27. September 2007
Book
Hardback
376 pages
978-1-58488-998-4 (ISBN)
Description
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.
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.
Reviews / Votes
"There are many good examples included in the book . . . clearly written from an AI and computer science perspective."- Thomas Studer, in Zentralblatt Math, 2009
More details
Language
English
Place of publication
Oxford
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Professional
Illustrations
196 s/w Abbildungen, 10 s/w Photographien bzw. Rasterbilder, 20 s/w Tabellen
20 Tables, black and white; 10 Halftones, black and white; 196 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
674 gr
ISBN-13
978-1-58488-998-4 (9781584889984)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Tsinghua University, Beijing, China Network Management Center, Beijing, China
Content
Preface. The 50-Year History of Artificial Intelligence. Methodologies of AI. On Uncertainties of Knowledge. Mathematical Foundation of AI with Uncertainty. Qualitative and Quantitative Transform Model-Cloud Model. Discovering Knowledge with Uncertainty through Methodologies in Physics. Data Mining for Discovering Knowledge with Uncertainty. Reasoning and Control of Qualitative Knowledge. A New Direction of AI with Uncertainty. Index.