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Artificial Intelligence: A Modern Approach, Global Edition (ISB2243964) (ISBN:9781292153964)

Artificial Intelligence: A Modern Approach, Global Edition (ISB2243964) (ISBN:9781292153964)
Out Of Stock
Artificial Intelligence: A Modern Approach, Global Edition (ISB2243964) (ISBN:9781292153964)
Ex Tax: RM92.00
  • Stock: Out Of Stock
  • Weight: 0.85kg
  • ISBN: 9781292153964


The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.



  • Nontechnical learning material
  • The Internet as a sample application for intelligent systems
  • Increased coverage of material
  • Updated and expanded exercises  
  • More Online Software.
  • A unified, agent-based approach to AI
  • Comprehensive, up-to-date coverage
  • A flexible format
  • In-depth coverage of basic and advanced topics
  • 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.
  • Author Maintained Website


Table of Contents


I. Artificial Intelligence

1. Introduction

2. Intelligent Agents

II. Problem-solving

3. Solving Problems by Searching

4. Beyond Classical Search

5. Adversarial Search

6. Constraint Satisfaction Problems

III. Knowledge, Reasoning, and Planning

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

IV. Uncertain Knowledge and Reasoning

13. Quantifying Uncertainty

14. Probabilistic Reasoning

15. Probabilistic Reasoning over Time

16. Making Simple Decisions

17. Making Complex Decisions

V. Learning

18. Learning from Examples

19. Knowledge in Learning

20. Learning Probabilistic Models

21. Reinforcement Learning

VI. Communicating, Perceiving, and Acting

22. Natural Language Processing

23. Natural Language for Communication

24. Perception

25. Robotics

VII. Conclusions

26 Philosophical Foundations

27. AI: The Present and Future


A. Mathematical Background

B. Notes on Languages and Algorithms





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