Artificial Intelligence with Uncertainty
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60 732 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
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Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher Chapman and Hall
- Date of Publication 27 September 2007
- ISBN 9781584889984
- Binding Hardback
- No. of pages376 pages
- Size 234x156 mm
- Weight 674 g
- Language English
- Illustrations 196 Illustrations, black & white; 10 Halftones, black & white; 20 Tables, black & white 0
Categories
Short description:
Through mathematical theories, models, and experimental computations, this book explores the uncertainties of knowledge and intelligence that occur during the cognitive processes of human beings. 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.
MoreLong 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.
"There are many good examples included in the book . . . clearly written from an AI and computer science perspective."
? Thomas Studer, in Zentralblatt Math, 2009
MoreTable of Contents:
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.
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