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Extensively rewritten over the first version of the book, this 2002 treatise on AI was developed to be as comprehensive as possible without becoming unreadable.

It is an insightful introduction to artificial intelligence heavilly biased towards the academic. Verbose is this book?s middle name. Still, sometimes that is what you desire. It leaves no stone of AI or Alife unturned, running through each in very logical order.

The book's overall theme is that the purpose of AI is to solve problems via intelligent agents, and then goes about specifying the features such an agent or agents should have. In order to aid creation of simplitic AI, pseudocode is provided for all of the major AI algorithms.

Sadly, this book is currently not available in the UK.

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 Real 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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