Artificial intelligence : a modern approach
Author(s)
Bibliographic Information
Artificial intelligence : a modern approach
（Prentice Hall series in artificial intelligence）
Prentice Hall, c2003
2nd ed., International ed.
Available at / 44 libraries
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Kobe University Library for Science and Technology
Prentice Hall international editions548-4-345//1-II030200205445,
548-4-345//1-〓-C030200400380 -
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Note
Contributing writers: John F. Canny, Douglas D. Edwards, Jitendra M. Malik, Sebastian Thrun
Includes bibliographical references and index
"Not for sale in USA and Canada"
Description and Table of Contents
Description
View chapters 3 and 4 from the upcoming Third Edition.
For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.
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.
Click on "Features" tab below for more information
Resources:
Visit the author's website http://aima.cs.berkeley.edu/ to access both student and instructor resources including Power Point slides, syllabus. homework and exams, and solutions text problems.
Table of Contents
I. ARTIFICIAL INTELLIGENCE.
1. Introduction.
2. Intelligent Agents.
II. PROBLEM-SOLVING.
3. Solving Problems by Searching.
4. Informed Search and Exploration.
5. Constraint Satisfaction Problems.
6. Adversarial Search.
III. KNOWLEDGE AND REASONING.
7. Logical Agents.
8. First-Order Logic.
9. Inference in First-Order Logic.
10. Knowledge Representation.
IV. PLANNING.
11. Planning.
12. Planning and Acting in the Read World.
V. UNCERTAIN KNOWLEDGE AND REASONING.
13. Uncertainty.
14. Probabilistic Reasoning Systems.
15. Probabilistic Reasoning Over Time.
16. Making Simple Decisions.
17. Making Complex Decisions.
VI. LEARNING.
18. Learning from Observations.
19. Knowledge in Learning.
20. Statistical Learning Methods.
21. Reinforcement Learning.
VII. COMMUNICATING, PERCEIVING, AND ACTING.
22. Agents that Communicate.
23. Text Processing in the Large.
24. Perception.
25. Robotics.
VIII. CONCLUSIONS.
26. Philosophical Foundations.
27. AI: Present and Future.
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