Artificial intelligence: A modern approach / Stuart J. Russell and Peter Norvig.
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TextPublication details: Englewood Cliffs, N.J. : Prentice-Hall, c1995Description: xxviii, 932 pages : figure ; 26cmISBN: 9780133601244Subject(s): ARTIFICIAL INTELLIGENCELOC classification: Q 335 .R87 1995
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LRC - Main | National University - Manila | Computer Science | General Circulation | GC Q 335 .R87 1995 (Browse shelf (Opens below)) | c.1 | Available | NULIB000002306 |
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| GC Q 335 .H6 2016 Principles of noology : toward a theory and science of intelligence / | GC Q 335 .L84 2003 Artificial intelligence : structures and strategies for complex problem solving / | GC Q 335 .N55 2010 The quest for artificial intelligence : a history of ideas and achievements / | GC Q 335 .R87 1995 Artificial intelligence: A modern approach / | GC Q 335 .R87 2010 Artificial intelligence : a modern approach / | GC Q 336 .B73 1990 c.1 Prolog programming for artificial intelligence / | GC Q 336 .B73 1990 c.2 Prolog programming for artificial intelligence / |
Include index.
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.
For one/two-semester, undergraduate or graduate-level courses in Artificial Intelligence.The most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.
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