| Description |
1166 pages : illustrations (chiefly color) ; 26 cm |
| Series |
Pearson series in artificial intelligence
|
| Contents |
I. Artificial intelligence -- II. Problem solving -- III. Knowledge, reasoning, and planning -- IV. Uncertain knowledge and reasoning -- V. Machine learning -- VI. Communicating, perceiving, and acting -- VII. Conclusions |
| Summary |
The long-anticipated revision of Artificial Intelligence: A Modern Approach explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up to date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multi agent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI |
| Notes |
Authorized adaption from the United States edition, entitled Artificial intelligence: a modern approach, 4th edition, ISBN 9780134610993 by Stuart J. Russell and Peter Norvig, published by Pearson Education ©2021 |
| Bibliography |
Includes bibliographical references (pages 1084-1118) and index |
| Subject |
Artificial intelligence
|
| Author |
Norvig, Peter, author
|
|
Chang, Ming-Wei, contributor
|
| ISBN |
9781292401133 |
|
1292401133 |
|
