Artificial Intelligence: A Modern Approach, 3e

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9789332543515: Artificial Intelligence: A Modern Approach, 3e
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Please Read Notes: Brand New, International Softcover Edition, Printed in black and white pages, minor self wear on the cover or pages, Sale restriction may be printed on the book, but Book name, contents, and author are exactly same as Hardcover Edition. Fast delivery through DHL/FedEx express.

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ISBN 10: 9332543518 ISBN 13: 9789332543515
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Descripción Pearson Education. Pearson. Condición: New. Brand NEW, International Edition. ISBN and Cover same with similar contents as US edition. Printed in Black & White. End Chapter Exercises may differ. No CD/Access code. Legal to use despite any disclaimer. We also ship to PO Box addresses. Printed in English. We may ship the books from multiple warehouses across the globe, including India depending upon the availability of inventory storage. In case of orders from Europe, custom charges may comply by the relevant government authority and we are not liable for it.100% Customer satisfaction guaranteed! Please feel free to contact us for any queries. Customer Satisfaction Guaranteed. Nº de ref. del artículo: BS-062

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Descripción Pearson Education. Softcover. Condición: New. Brand NEW, International Edition. ISBN and Cover same with similar contents as US edition. Printed in Black & White. End Chapter Exercises may differ. No CD/Access code. Legal to use despite any disclaimer. We also ship to PO Box addresses. Printed in English. We may ship the books from multiple warehouses across the globe, including India depending upon the availability of inventory storage. In case of orders from Europe, custom charges may comply by the relevant government authority and we are not liable for it.100% Customer satisfaction guaranteed! Please feel free to contact us for any queries. Customer Satisfaction Guaranteed. Nº de ref. del artículo: AB-13411

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Peter Norvig,Stuart J. Russell
Publicado por Pearson Education (2016)
ISBN 10: 9332543518 ISBN 13: 9789332543515
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(New Delhi, India)

Descripción Pearson Education, 2016. Softcover. Condición: New. 3rd edition. This edition captures the changes that have taken place in the field of artificial intelligence (AI) since the last edition in 2003. There have been important applications of AI technology, such as the widespread deployment of practical speech recognition, machine translation, autonomous vehicles, and household robotics. There have been algorithmic landmarks, such as the solution of the game of checkers. There has also been a great deal of theoretical progress, particularly in areas such as probabilistic reasoning, machine learning, and computer vision. Features Û¢ Nontechnical learning material provides a simple overview of major concepts Û¢ Expanded coverage of topics such as constraint satisfaction, local search planning methods, multi-agent systems, game theory, statistical natural language processing and uncertain reasoning over time Û¢ More detailed descriptions of algorithms for probabilistic inference, fast propositional inference, probabilistic learning approaches including EM, and other topics Û¢ Updated and expanded exercises Û¢ A unified, agent-based approach to AI : Organizes the material around the task of building intelligent agents Û¢ Comprehensive, up-to-date coverage : Includes a unified view of the field organized around the rational decision making paradigm Û¢ In-depth coverage of basic and advanced topics which provides students with a basic understanding of the frontiers of AI without compromising complexity and depth. Û¢ Pseudo-code versions of the major AI algorithms are presented in a uniform fashion, and Actual Common Lisp and Python implementations of the presented algorithms are available via the Internet Table of Contents Chapter 1 Introduction Chapter 2 Intelligent Agents Chapter 3 Solving Problems by Searching Chapter 4 Beyond Classical Search Chapter 5 Adversarial Search Chapter 6 Constraint Satisfaction Problems Chapter 7 Logical Agents Chapter 8 First-Order Logic Chapter 9 Inference in First-Order Logic Chapter 10 Classical Planning Chapter 11 Planning and Acting in the Real World Chapter 12 Knowledge Representation Chapter 13 Quantifying Uncertainty Chapter 14 Probabilistic Reasoning Chapter 15 Probabilistic Reasoning over Time Chapter 16 Making Simple Decisions Chapter 17 Making Complex Decisions Chapter 18 Learning from Examples Chapter 19 Knowledge in Learning Chapter 20 Learning Probabilistic Models Chapter 21 Reinforcement Learning Chapter 22 Natural Language Processing Chapter 23 Natural Language for Communication Chapter 24 Perception Chapter 25 Robotics Chapter 26 Philosophical Foundations Printed Pages: 1163. Nº de ref. del artículo: 100872

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6.

Peter Norvig,Stuart J. Russell
Publicado por Pearson Education (2016)
ISBN 10: 9332543518 ISBN 13: 9789332543515
Nuevo Softcover Cantidad disponible: 5
Librería
Vikram Jain Books
(New Delhi, India)

Descripción Pearson Education, 2016. Softcover. Condición: New. 3rd edition. This edition captures the changes that have taken place in the field of artificial intelligence (AI) since the last edition in 2003. There have been important applications of AI technology, such as the widespread deployment of practical speech recognition, machine translation, autonomous vehicles, and household robotics. There have been algorithmic landmarks, such as the solution of the game of checkers. There has also been a great deal of theoretical progress, particularly in areas such as probabilistic reasoning, machine learning, and computer vision. Features Û¢ Nontechnical learning material provides a simple overview of major concepts Û¢ Expanded coverage of topics such as constraint satisfaction, local search planning methods, multi-agent systems, game theory, statistical natural language processing and uncertain reasoning over time Û¢ More detailed descriptions of algorithms for probabilistic inference, fast propositional inference, probabilistic learning approaches including EM, and other topics Û¢ Updated and expanded exercises Û¢ A unified, agent-based approach to AI : Organizes the material around the task of building intelligent agents Û¢ Comprehensive, up-to-date coverage : Includes a unified view of the field organized around the rational decision making paradigm Û¢ In-depth coverage of basic and advanced topics which provides students with a basic understanding of the frontiers of AI without compromising complexity and depth. Û¢ Pseudo-code versions of the major AI algorithms are presented in a uniform fashion, and Actual Common Lisp and Python implementations of the presented algorithms are available via the Internet Table of Contents Chapter 1 Introduction Chapter 2 Intelligent Agents Chapter 3 Solving Problems by Searching Chapter 4 Beyond Classical Search Chapter 5 Adversarial Search Chapter 6 Constraint Satisfaction Problems Chapter 7 Logical Agents Chapter 8 First-Order Logic Chapter 9 Inference in First-Order Logic Chapter 10 Classical Planning Chapter 11 Planning and Acting in the Real World Chapter 12 Knowledge Representation Chapter 13 Quantifying Uncertainty Chapter 14 Probabilistic Reasoning Chapter 15 Probabilistic Reasoning over Time Chapter 16 Making Simple Decisions Chapter 17 Making Complex Decisions Chapter 18 Learning from Examples Chapter 19 Knowledge in Learning Chapter 20 Learning Probabilistic Models Chapter 21 Reinforcement Learning Chapter 22 Natural Language Processing Chapter 23 Natural Language for Communication Chapter 24 Perception Chapter 25 Robotics Chapter 26 Philosophical Foundations Printed Pages: 1163. Nº de ref. del artículo: 100872BV

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Russell
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ISBN 10: 9332543518 ISBN 13: 9789332543515
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Vikram Jain Books
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Stuart J Russell, Peter Norvig
Publicado por Pearson India (2015)
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Descripción Pearson India, 2015. Paperback. Condición: New. Nº de ref. del artículo: Adhya-9789332543515

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Russell
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Stuart J Russell, Peter Norvig
Publicado por Pearson India (2015)
ISBN 10: 9332543518 ISBN 13: 9789332543515
Nuevo Paperback Cantidad disponible: 5
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BookVistas
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Descripción Pearson India, 2015. Paperback. Condición: New. Nº de ref. del artículo: Adhya-9789332543515

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