MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03590nam a2200253Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
VITAP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20201130120237.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
170725s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789332543515 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
VITAP |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23rd Ed. |
| Classification number |
006.3 RUS |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Russell, Stuart J. |
| 9 (RLIN) |
10249 |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Artificial Intelligence : A Modern Approach |
| Statement of responsibility, etc. |
Stuart J. Russell and Peter Norvig |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
3rd Ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Name of publisher, distributor, etc. |
Pearson India Education Services Pvt. Ltd. |
| Place of publication, distribution, etc. |
Chennai |
| Date of publication, distribution, etc. |
2020 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Other physical details |
Book |
| Extent |
xviii, 1145p. : ill. ; 28cm. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
It includes Appendix, Bibliography and Index |
| 521 ## - TARGET AUDIENCE NOTE |
|---|
| Target audience note |
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.<br/><br/>Table of Content<br/><br/>Chapter 1 Introduction<br/>Chapter 2 Intelligent Agents<br/>Chapter 3 Solving Problems by Searching<br/>Chapter 4 Beyond Classical Search<br/>Chapter 5 Adversarial Search<br/>Chapter 6 Constraint Satisfaction Problems<br/>Chapter 7 Logical Agents<br/>Chapter 8 First-Order Logic <br/>Chapter 9 Inference in First-Order Logic<br/>Chapter 10 Classical Planning<br/>Chapter 11 Planning and Acting in the Real World<br/>Chapter 12 Knowledge Representation<br/>Chapter 13 Quantifying Uncertainty<br/>Chapter 14 Probabilistic Reasoning<br/>Chapter 15 Probabilistic Reasoning over Time<br/>Chapter 16 Making Simple Decisions<br/>Chapter 17 Making Complex Decisions<br/>Chapter 18 Learning from Examples<br/>Chapter 19 Knowledge in Learning<br/>Chapter 20 Learning Probabilistic Models<br/>Chapter 21 Reinforcement Learning<br/>Chapter 22 Natural Language Processing<br/>Chapter 23 Natural Language for Communication<br/>Chapter 24 Perception<br/>Chapter 25 Robotics<br/>Chapter 26 Philosophical Foundations<br/><br/> <br/> <br/>Salient Features<br/><br/>• Nontechnical learning material provides a simple overview of major concepts<br/>• 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<br/>• More detailed descriptions of algorithms for probabilistic inference, fast propositional inference, probabilistic learning approaches including EM, and other topics<br/>• Updated and expanded exercises<br/>• A unified, agent-based approach to AI — Organizes the material around the task of building intelligent agents<br/>• Comprehensive, up-to-date coverage — Includes a unified view of the field organized around the rational decision making paradigm<br/>• 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.<br/>• 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 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
10250 |
| Topical term or geographic name entry element |
Artificial Intelligence; Artificial Intelligence--Study And Teaching |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
10251 |
| Personal name |
Norvig, Peter |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://pearsoned.co.in/web/books/9789332543515_Artificial-Intelligence_Russell-Norvig.aspx">https://pearsoned.co.in/web/books/9789332543515_Artificial-Intelligence_Russell-Norvig.aspx</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Text Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Edition |
23rd Ed. |
| Classification part |
006.3 RUS |
