Description
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.
Features
- 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
Appendices
A. Mathematical Background
B. Notes on Languages and Algorithms
Bibliography
Index
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| Textbook | |
- Stock: Pre-Order ( 3 to 4 weeks )
- Model: 9781292153964
- Weight: 0.68kg
- Dimensions: 32.40cm x 23.70cm x 6.00cm
- ISBN: 9781292153964
