Artificial intelligence : a modern approach / Stuart J. Russell and Peter Norvig ; contributing writers, Ernest Davis ... [and others]
By: Russell, Stuart J. (Stuart Jonathan).
Contributor(s): Norvig, Peter | Davis, Ernest.
Material type: TextPublisher: Upper Saddle River : Prentice Hall, [2010]Copyright date: ℗♭2010Edition: 3rd ed.Description: xviii, 1132 pages : illustrations, 26 cm.Content type: text ISBN: 9780136042594; 0136042597; 9780132071482; 0132071487.Subject(s): Artificial intelligenceDDC classification: 153.9 RUS Summary: 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 intelligenceItem type | Current location | Collection | Call number | Status | Date due | Barcode |
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Reference | 153.9 RUS (Browse shelf) | Available | R000015518 |
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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