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    Artificial Intelligence: A Modern Approach (Paperback) By (author) Stuart J. Russell, By (author) Peter Norvig


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    DescriptionThis is an introduction to the theory and practice of artificial intelligence. It uses an intelligent agent as the unifying theme throughout, and covers areas that are sometimes underemphasized elsewhere. These include reasoning under uncertainty, learning, natural language, vision and robotics. The book also explains in detail some of the more recent ideas in the field, including simulated annealing, memory-bounded search, global ontologies, dynamic belief networks, neural nets, inductive logic programming, computational learning theory, and reinforcement learning. An instructor's manual with transparency masters is also available.

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  • Full bibliographic data for Artificial Intelligence

    Artificial Intelligence
    A Modern Approach
    Authors and contributors
    By (author) Stuart J. Russell, By (author) Peter Norvig
    Physical properties
    Format: Paperback
    Number of pages: 912
    Width: 191 mm
    Height: 234 mm
    Thickness: 33 mm
    Weight: 1,437 g
    ISBN 13: 9780133601244
    ISBN 10: 0133601242

    BIC E4L: COM
    Nielsen BookScan Product Class 3: S10.2
    BIC subject category V2: UYQ
    DC20: 006.3
    LC subject heading:
    BISAC V2.8: COM004000
    Edition statement
    1st International edition
    Pearson Education Limited
    Imprint name
    Publication date
    01 November 1994
    Publication City/Country
    Table of contents
    I. ARTIFICIAL INTELLIGENCE. 1. Introduction. 2. Intelligent Agents. II. PROBLEM-SOLVING. 3. Solving Problems by Searching. 4. Informed Search Methods. 5. Game Playing. III. KNOWLEDGE AND REASONING. 6. Agents that Reason Logically. 7. First-order Logic. 8. Building a Knowledge Base. 9. Inference in First-Order Logic. 10. Logical Reasoning Systems. IV. ACTING LOGICALLY. 11. Planning. 12. Practical Planning. 13. Planning and Acting. V. UNCERTAIN KNOWLEDGE AND REASONING. 14. Uncertainty. 15. Probabilistic Reasoning Systems. 16. Making Simple Decisions. 17. Making Complex Decisions. VI. LEARNING. 18. Learning from Observations. 19. Learning with Neural Networks. 20. Reinforcement Learning. 21. Knowledge in Learning. VII. COMMUNICATING, PERCEIVING, AND ACTING. 22. Agents that Communicate. 23. Practical Communication in English. 24. Perception. 25. Robotics. VIII. CONCLUSIONS. 26. Philosophical Foundations. 27. AI: Present and Future.