Introduction to Artificial Intelligence

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9780857292988: Introduction to Artificial Intelligence

This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website.

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Recensione:

From the reviews:

“The book is aimed primarily at undergraduates who have not yet taken linear algebra or multidimensional calculus. … it contains many exercises with solutions at the back; thus, it supports self-learning. … The many excellent figures, some in color, help make the material easily understandable. A companion Web site contains supplementary materials, such as program code for the book, most of which is in or commented on in German. Summing Up: Recommended. Upper-division undergraduates and above.” (S. L. Tanimoto, Choice, Vol. 49 (2), October, 2011)

“This accessible and concise introduction to the field of artificial intelligence (AI) is intended primarily for self-study or as a foundation of a short course on the subject. The book consists of ten topic chapters, each one of which offers an extended list of exercises. Chapter 11 contains solutions to all exercises. Additional teaching resources, including lecture slides, are available on the book website.” (Neli Zlatareva, Zentralblatt MATH, Vol. 1238, 2012)

L'autore:

Dr. Wolfgang Ertel is a professor at the Collaborative Center for Applied Research on Service Robotics at the Ravensburg-Weingarten University of Applied Sciences, Germany.

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Wolfgang Ertel
Editore: Springer London Ltd, United Kingdom (2011)
ISBN 10: 0857292986 ISBN 13: 9780857292988
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Descrizione libro Springer London Ltd, United Kingdom, 2011. Paperback. Condizione libro: New. 2011. 231 x 152 mm. Language: English . Brand New Book. This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website. Codice libro della libreria AAZ9780857292988

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Wolfgang Ertel, Nathanael T. Black
Editore: Springer London Ltd
ISBN 10: 0857292986 ISBN 13: 9780857292988
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Descrizione libro Springer London Ltd. Paperback. Condizione libro: new. BRAND NEW, Introduction to Artificial Intelligence, Wolfgang Ertel, Nathanael T. Black, This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website. Codice libro della libreria B9780857292988

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Wolfgang Ertel
Editore: Springer London Ltd, United Kingdom (2011)
ISBN 10: 0857292986 ISBN 13: 9780857292988
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Descrizione libro Springer London Ltd, United Kingdom, 2011. Paperback. Condizione libro: New. 2011. 231 x 152 mm. Language: English . Brand New Book. This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and data mining, neural networks and reinforcement learning; contains an extensive bibliography for deeper reading on further topics; supplies additional teaching resources, including lecture slides and training data for learning algorithms, at an associated website. Codice libro della libreria AAZ9780857292988

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Wolfgang Ertel
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ISBN 10: 0857292986 ISBN 13: 9780857292988
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Descrizione libro Springer London Ltd 2011-03-15, England, 2011. paperback. Condizione libro: New. Codice libro della libreria 9780857292988

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Ertel, Wolfgang
Editore: Springer London Ltd (2011)
ISBN 10: 0857292986 ISBN 13: 9780857292988
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Descrizione libro Springer London Ltd, 2011. Condizione libro: New. 2011. 2011th Edition. Paperback. This accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. It provides study exercises at the end of each chapter, plus examples, definitions, theorems, and illustrations. Translator(s): Black, Nathanael T. Series: Undergraduate Topics in Computer Science. Num Pages: 328 pages, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 23 x 15 x 5. Weight in Grams: 496. . . . . . . Codice libro della libreria V9780857292988

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Wolfgang Ertel
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Descrizione libro Paperback. Condizione libro: New. Not Signed; This concise and accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural. book. Codice libro della libreria ria9780857292988_rkm

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Descrizione libro Condizione libro: New. Depending on your location, this item may ship from the US or UK. Codice libro della libreria 97808572929880000000

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Descrizione libro Springer London Ltd, 2011. PAP. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria GB-9780857292988

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Ertel, Wolfgang
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Descrizione libro Springer London Ltd. Condizione libro: New. 2011. 2011th Edition. Paperback. This accessible textbook supports a foundation or module course on A.I., covering a broad selection of the subdisciplines within this field. It provides study exercises at the end of each chapter, plus examples, definitions, theorems, and illustrations. Translator(s): Black, Nathanael T. Series: Undergraduate Topics in Computer Science. Num Pages: 328 pages, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 23 x 15 x 5. Weight in Grams: 496. . . . . . Books ship from the US and Ireland. Codice libro della libreria V9780857292988

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Descrizione libro Condizione libro: New. Bookseller Inventory # ST0857292986. Codice libro della libreria ST0857292986

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