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The edition updates content since the 2003 release, highlighting advances in speech recognition, machine translation, autonomous vehicles, and household robotics, along with progress in probabilistic reasoning, machine learning, and computer vision. 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Learning Bayesian Networks  \nArtificial Intelligence: A Modern Approach, 3rd ed.  \nArtificial Intelligence  \nA Modern Approach Third Edition  \nStuart J. Russell and Peter Norvig  \nContributing writers:  \nErnest Davis  \nDouglas D. Edwards  \nDavid Forsyth  \nNicholas J. Hay  \nJitendra M. Malik  \nVibhu Mittal  \nMehran Sahami  \nSebastian Thrun  \nUpper Saddle River Boston Columbus San Francisco New York Indianapolis London Toronto Sydney Singapore Tokyo Montreal Dubai Madrid Hong Kong Mexico City Munich Paris Amsterdam Cape Town  \nVice President and Editorial Director, ECS: Marcia J. Horton  \nEditor-in-Chief: Michael Hirsch  \nExecutive Editor: Tracy Dunkelberger  \nAssistant Editor: Melinda Haggerty  \nEditorial Assistant: Allison Michael  \nVice President, Production: Vince O’Brien  \nSenior Managing Editor: Scott Disanno  \nProduction Editor: Jane Bonnell  \nSenior Operations Supervisor: Alan Fischer  \nOperations Specialist: Lisa McDowell  \nMarketing Manager: Erin Davis  \nMarketing Assistant: Mack Patterson  \nCover Designers: Kirsten Sims and Geoffrey Cassar  \nCover Images: Stan Honda/Getty, Library of Congress, NASA, National Museum of Rome, Peter Norvig, Ian Parker, Shutterstock, Time Life/Getty  \nInterior Designers: Stuart Russell and Peter Norvig  \nCopy Editor: Mary Lou Nohr  \nArt Editor: Greg Dulles  \nMedia Editor: Daniel Sandin  \nMedia Project Manager: Danielle Leone  \nCopyright 􀀂c 2010, 2003, 1995 by Pearson Education, Inc., Upper Saddle River, New Jersey 07458.  \nAll rights reserved. Manufactured in the United States of America. This publication is protected by Copyright and permissions should be obtained from the publisher prior to any prohibited reproduction, storage in a retrieval system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. To obtain permission(s) to use materials from this work, please submit a written request to Pearson Higher Education, Permissions Department, 1 Lake Street, Upper Saddle River, NJ 07458 .  \nThe author and publisher of this book have used their best efforts in preparing this book. These efforts include the development, research, and testing of the theories and programs to determine their effectiveness. The author and publisher make no warranty of any kind, expressed or implied, with regard to these programs or the documentation contained in this book. The author and publisher shall not be liable in any event for incidental or consequential damages in connection with, or arising out of, the furnishing, performance, or use of these programs.  \nLibrary of Congress Cataloging-in-Publication Data on File  \n10 9 8 7 6 5 4 3 2 1 ISBN-13: 978-0-13-604259-4  \nISBN-10: 0-13-604259-7  \nFor Loy, Gordon, Lucy, George, and Isaac —S.J.R.  \nFor Kris, Isabella, and Juliet—P.N.  \nThis page intentionally left blank  \nPreface  \nArtificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continuous mathematics; perception, reasoning, learning, and action; and everything from microelectronic devices to robotic planetary explorers. The book is also big because we go into some depth.  \nThe subtitle of this book is “A Modern Approach.” The intended meaning of this rather empty phrase is that we have tried to synthesize what is now known into a common framework, rather than trying to explain each subfield of AI in its own historical context. We apologize to those whose subfields are, as a result, less recognizable.  \nNew to this edition  \nThis edition captures the changes in AI that have taken place since the last edition in 2003 . There have been im","cbCaidRJAlHFioOE","https://ap.wps.com/l/cbCaidRJAlHFioOE","pdf",20876815,1151,"English","# Preface\n## New to this edition","[{\"question\":\"What is the main organizing idea of this AI book?\",\"answer\":\"It synthesizes what is known into a common framework across logic, probability, perception, reasoning, learning, and action rather than treating each AI subfield only within its own history.\"},{\"question\":\"What major updates does the Third Edition include compared with the 2003 edition?\",\"answer\":\"It covers new AI applications such as speech recognition, machine translation, autonomous vehicles, and household robotics, and emphasizes theoretical progress in probabilistic reasoning, machine learning, and computer vision.\"},{\"question\":\"Which topics does the book place more emphasis on in this edition?\",\"answer\":\"It strengthens coverage of partially observable and nondeterministic environments, introduces belief state and state estimation, expands representation types, deepens planning (including hierarchical planning), and adds first-order probabilistic models and material on Web search and large-scale learning.\"}]","Artificial Intelligence - A Modern Approach - Third Edition | PDF",2901]