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Artificial Intelligence: A Modern Approach
![]() 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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