Artificial intelligence : a modern approach / Stuart J. Russell and Peter Norvig ; contributing writers, Ernest Davis ... [et al.].

By: Russell, Stuart J. (Stuart Jonathan)Contributor(s): Norvig, Peter | Davis, ErnestMaterial type: TextTextSeries: Prentice Hall series in artificial intelligence: Publisher: Upper Saddle River : Prentice Hall, c2010Edition: 3rd edDescription: xviii, 1132 p. : ill. ; 26 cmISBN: 9780136042594; 0136042597; 9780132071482 (pbk.); 0132071487 (pbk.)Subject(s): Artificial intelligenceDDC classification: 006.3 LOC classification: Q335 | .R86 2010Summary: From the Publisher: The long-anticipated revision of this number 1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For computer professionals, linguists, and cognitive scientists interested in artificial intelligence.
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Includes bibliographical references (p. 1063-1093) and index.

From the Publisher: The long-anticipated revision of this number 1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For computer professionals, linguists, and cognitive scientists interested in artificial intelligence.

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