Ramdan Hours:
Sun - Thu
9.30 AM - 2.30 PM
Iftar in --:--:--
🌙 Maghrib: --:--
Image from Google Jackets

Artificial intelligence : a modern approach / Stuart J. Russell and Peter Norvig ; contributing writers, Ernest Davis ... [et al.]

By: Contributor(s): Material type: TextTextSeries: Prentice Hall series in artificial intelligencePublisher: Upper Saddle River, N.J. : Prentice Hall, c2010Edition: Third EditionDescription: xviii, 1132 pages. : illustrations ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780132071482 (pbk.)
  • 0132071487 (pbk.)
  • 9780136042594 (hbk.)
  • 0136042597 (hbk.)
Subject(s): DDC classification:
  • 006.3 22 R.S.A
Contents:
1. Introduction 2. Intelligent Agents 3. Solving Problems by Searching 4. Beyond Classical Search 5. Adversarial Search 6. Constraint Satisfaction Problems 7. Logical Agents 8. First-Order Logic 9. Inference in First-Order Logic 10. Classical Planning 11. Planning and Acting in the Real World 12 Knowledge Representation 17. Making Complex Decisions 18. Learning from Examples 19. Knowledge in Learning 20. Learning Probabilistic Models 21. Reinforcement Learning 22. Natural Language Processing 23. Natural Language for Communication 24. Perception 25. Robotics 26 Philosophical Foundations 27. AI: The Present and Future A. Mathematical Background B. Notes on Languages and Algorithms
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)

Includes bibliographical references (p. 1063-1093) and index.

1. Introduction

2. Intelligent Agents

3. Solving Problems by Searching

4. Beyond Classical Search

5. Adversarial Search

6. Constraint Satisfaction Problems

7. Logical Agents

8. First-Order Logic

9. Inference in First-Order Logic

10. Classical Planning

11. Planning and Acting in the Real World

12 Knowledge Representation

17. Making Complex Decisions

18. Learning from Examples

19. Knowledge in Learning

20. Learning Probabilistic Models

21. Reinforcement Learning

22. Natural Language Processing

23. Natural Language for Communication

24. Perception

25. Robotics

26 Philosophical Foundations

27. AI: The Present and Future

A. Mathematical Background

B. Notes on Languages and Algorithms

There are no comments on this title.

to post a comment.