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A comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.
Publish Date
2010
Publisher
Prentice Hall
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Previews available in: English
Subjects
Artificial intelligence, problem solving, constraint satisfaction, knowledge, reasoning, planning, uncertainty, learning, Компьютеры, Кибернетика: Искусственный интеллект, Computers, Cybernetics: Artificial Intelligence, Künstliche Intelligenz, 0 Gesamtdarstellung, Study and teaching, Handbooks, manuals, Intelligence artificielle, Étude et enseignement, Guides, manuels, Kunstmatige intelligentie, Raisonnement (Informatique), Résolution de problème, Apprentissage automatique, Agent intelligent, Thought and thinking, Pensée, Thinking, Sztuczna inteligencja, Logique symbolique et mathématique, Algorithmes, Resolution de probleme, Q335 .r86 1995, 006.3, Q335 .r86 2010, Q335 .r86 2003Showing 9 featured editions. View all 35 editions?
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Artificial Intelligence A Modern Approach
Apr 10, 2009, Pearson India
paperback
9332518696 9789332518698
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Artificial intelligence: a modern approach
2003, Prentice Hall/Pearson Education
in English
- 2nd ed.
0137903952 9780137903955
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Artificial intelligence: a modern approach
2003, Prentice Hall
Paperback
in English
- 2nd ed., International edition
0130803022 9780130803023
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Artificial Intelligence: A Modern Approach (2nd Edition)
December 20, 2002, Prentice Hall
Hardcover
in English
- 2nd edition
0137903952 9780137903955
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Book Details
Table of Contents
Preface
Page xxv
I.
Artificial Intelligence
1.
Introduction
Page 1
2.
Intelligent Agents
Page 34
II.
Problem Solving
3.
Solving Problems by Searching
Page 64
5.
Adversarial Search
Page 161
6.
Constraint Satisfaction Problems
Page 202
III.
Knowledge, reasoning, and planning
7.
Logical Agents
Page 234
8.
First-Order Logic
Page 285
9.
Inference in First-Order Logic
Page 322
10.
Classical Planning
Page 366
11.
Planning and Acting in the Real World
Page 401
12.
Knowledge Representation
Page 437
IV.
Uncertain knowledge and reasoning
13.
Quantifying Uncertainty
Page 480
14.
Probabilistic Reasoning
Page 510
15.
Probabilistic Reasoning over Time
Page 566
16.
Making Simple Decisions
Page 610
V.
Learning
18.
Learning from Examples
Page 693
19.
Knowledge in Learning
Page 768
20.
Learning Probabilistic Models
Page 802
21.
Reinforcement Learning
Page 830
VI.
Communicating, perceiving, and acting
22.
Natural Language Processing
Page 860
23.
Natural Language for Communication
Page 888
24.
Perception
Page 928
25.
Robotics
Page 971
VII.
Conclusions
26.
Philosophical Foundations
Page 1020
27.
AI The Present and Future
Page 1044
A.
Mathematical background
Page 1053
B.
Notes on Languages and Algorithms
Page 1060
Bibliography
Page 1063
Index
Page 1109
The Physical Object
ID Numbers
Links outside Open Library
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- Created October 6, 2011
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February 16, 2023 | Edited by ISBNbot2 | normalize ISBN |
October 18, 2011 | Edited by 108.35.58.254 | fix toc |
October 6, 2011 | Edited by 108.35.58.254 | Added new cover |
October 6, 2011 | Edited by 108.35.58.254 | added toc |
October 6, 2011 | Created by 108.35.58.254 | Added new book. |