Items related to The Pattern Recognition Basis of Artificial Intelligence...
Synopsis
This book takes the viewpoint that plain symbol processing techniques have little hope of reproducing the depth and breadth of capabilities found in human beings. The book introduces new foundational principles to AI: connectionist/neural networking methods, case based and memory based methods and picture processing.
The book looks at methods of AI as different ways of doing pattern recognition. One way to do pattern recognition is to compare a problem to stored cases. At the other end of the spectrum, Classical Symbol Processing AI compresses cases down to a small set of rules and then works only with this condensed knowledge. In between these two extremes are neural networks, especially backprop type networks. As much as possible the book compares these three basic methods using actual AI programs.
The structure of the book starts at the bottom of human abilities with vision and other simple pattern recognition abilities and moves on to the higher levels of problem solving and game playing and finally to the level of natural language and understanding of the world. At the higher levels more complex computer architectures are needed that include methods for structuring thoughts.
The book is organized in a manner in which the reader will get an intuitive feeling for the principles of AI. Throughout the book applications of basic principles are demonstrated by examining some classic AI programs in detail. The book can serve as a text for juniors, seniors and first year graduate students in Computer Science or Psychology and includes sample problems and data for exercises and a list of frequently asked questions.
"synopsis" may belong to another edition of this title.
About the Author
Donald Tveter is the author of The Pattern Recognition Basis of Artificial Intelligence, published by Wiley.
"About this title" may belong to another edition of this title.
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Pattern Recognition Basis of A
Published by
Wiley-IEEE Computer Society Pr, 1998
ISBN 10: 0818677961
ISBN 13: 9780818677960
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THE PATTERN RECOGNITION BASIS OF ARTIFICIAL INTELLIGENCE
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IEEE Computer Society, 1998
ISBN 10: 0818677961
ISBN 13: 9780818677960
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Pattern Recognition Basis Artificial Intelligence
Published by
Wiley-IEEE Computer Society PR, 1998
ISBN 10: 0818677961
ISBN 13: 9780818677960
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The Pattern Recognition Basis of Artificial Intelligence (Practitioners)
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Wiley-IEEE Computer Society Pr, 1998
ISBN 10: 0818677961
ISBN 13: 9780818677960
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The Pattern Recognition Basis of Artificial Intelligence
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ISBN 10: 0818677961
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Pattern Recognition Basis of AI (Practitioners).
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IEEE Computer Science Society, 1998
ISBN 10: 0818677961
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Pattern Recognition Basis of Artificial Intelligence
Published by
Wiley-IEEE Computer Society Pr, 1998
ISBN 10: 0818677961
ISBN 13: 9780818677960
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Pattern Recognition Basis of Artificial Intelligence
Published by
Wiley-IEEE Computer Society Pr, 1998
ISBN 10: 0818677961
ISBN 13: 9780818677960
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The Pattern Recognition Basis of Artificial Intelligence (Paperback)
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IEEE Computer Society Press,U.S., Los Alamitos, CA, 1998
ISBN 10: 0818677961
ISBN 13: 9780818677960
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Paperback. Condition: new. Paperback. This book takes the viewpoint that plain symbol processing techniques have little hope of reproducing the depth and breadth of capabilities found in human beings. The book introduces new foundational principles to AI: connectionist/neural networking methods, case based and memory based methods and picture processing. The book looks at methods of AI as different ways of doing pattern recognition. One way to do pattern recognition is to compare a problem to stored cases. At the other end of the spectrum, Classical Symbol Processing AI compresses cases down to a small set of rules and then works only with this condensed knowledge. In between these two extremes are neural networks, especially backprop type networks. As much as possible the book compares these three basic methods using actual AI programs. The structure of the book starts at the bottom of human abilities with vision and other simple pattern recognition abilities and moves on to the higher levels of problem solving and game playing and finally to the level of natural language and understanding of the world. At the higher levels more complex computer architectures are needed that include methods for structuring thoughts. The book is organized in a manner in which the reader will get an intuitive feeling for the principles of AI. Throughout the book applications of basic principles are demonstrated by examining some classic AI programs in detail. The book can serve as a text for juniors, seniors and first year graduate students in Computer Science or Psychology and includes sample problems and data for exercises and a list of frequently asked questions. This text introduces foundational principles to artificial intelligence (AI), including: connectionist/neural networking methods; case based and memory based methods; and picture processing. It compares these three basic methods using actual AI programmes. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780818677960
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Pattern Recognition Basis Artificial Intelligence
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