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New foundation of artificial intelligence [electronic resource] / by Ming Xie, Hui Chen, Zhensheng Hu.

By: Xie, Min.
Contributor(s): Chen, Hui | Hu, Zhensheng.
Material type: materialTypeLabelBookPublisher: Singapore : World Scientific, 2021Description: 1 online resource (xvii, 384 p.).ISBN: 9789814271646.Subject(s): Artificial intelligence | Expert systems (Computer science)Genre/Form: Electronic books.DDC classification: 006.3 Online resources: Access to full text is restricted to subscribers.
Contents:
Knowledge representation. Basics of knowledge. Basics of human language. Basics of technical language. Basics of programming language -- Knowledge acquisition. Knowledge acquisition from text. Basics of visual perception. Knowledge acquisition from color. Knowledge acquisition from shape. Knowledge acquisition from depth -- Knowledge computation. Computing statics of generic data. Computing dynamics of mechanical systems -- Knowledge applications. Knowledge-enabled applications.
Summary: "This book lays a new foundation toward achieving artificial self-intelligence by future machines such as intelligent vehicles. Its chapters provide a broad coverage to the three key modules behind the design and development of intelligent vehicles for the ultimate purpose of actively ensuring driving safety as well as preventing accidents from all possible causes. Self-contained and unified in presentation, the book explains in details the fundamental solutions of vehicle's perception, vehicle's decision-making, and vehicle's action-taking in a pedagogic order. Besides the fundamental knowledge and concepts of intelligent vehicle's perception, decision and action, this book includes a comprehensive set of real-life application scenarios in which intelligent vehicles will play a major role or contribution. These case studies of real-life applications will help motivate students to learn this exciting subject. With concise and simple explanations, and boasting a rich set of graphical illustrations, the book is an invaluable source for both undergraduate and postgraduate courses, on artificial intelligence, intelligent vehicle, and robotics, which are offered in automotive engineering, computer engineering, electronic engineering, and mechanical engineering. In addition, the book will help strengthen the knowledge and skills of young researchers who want to venture into the research and development of artificial self-intelligence for intelligent vehicles of the future"--Publisher's website.
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Knowledge representation. Basics of knowledge. Basics of human language. Basics of technical language. Basics of programming language -- Knowledge acquisition. Knowledge acquisition from text. Basics of visual perception. Knowledge acquisition from color. Knowledge acquisition from shape. Knowledge acquisition from depth -- Knowledge computation. Computing statics of generic data. Computing dynamics of mechanical systems -- Knowledge applications. Knowledge-enabled applications.

"This book lays a new foundation toward achieving artificial self-intelligence by future machines such as intelligent vehicles. Its chapters provide a broad coverage to the three key modules behind the design and development of intelligent vehicles for the ultimate purpose of actively ensuring driving safety as well as preventing accidents from all possible causes. Self-contained and unified in presentation, the book explains in details the fundamental solutions of vehicle's perception, vehicle's decision-making, and vehicle's action-taking in a pedagogic order. Besides the fundamental knowledge and concepts of intelligent vehicle's perception, decision and action, this book includes a comprehensive set of real-life application scenarios in which intelligent vehicles will play a major role or contribution. These case studies of real-life applications will help motivate students to learn this exciting subject. With concise and simple explanations, and boasting a rich set of graphical illustrations, the book is an invaluable source for both undergraduate and postgraduate courses, on artificial intelligence, intelligent vehicle, and robotics, which are offered in automotive engineering, computer engineering, electronic engineering, and mechanical engineering. In addition, the book will help strengthen the knowledge and skills of young researchers who want to venture into the research and development of artificial self-intelligence for intelligent vehicles of the future"--Publisher's website.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

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