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For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Salient Features NEW Nontechnical learning material-provides a simple overview of major concepts, uses a non technical language to help increase understanding. NEWthe Internet as a sample application for intelligent systems Examples of logical reasoning, planning, and natural language processing using Internet agents. NEW Increased coverage of material new or expanded coverage of constraint satisfaction, local search planning methods, multi-agent systems, game theory, statistical natural language processing and uncertain reasoning over time. More detailed descriptions of algorithms for probabilistic inference, fast propositional inference, probabilistic learning approaches including EM, and other topics. NEW Updated and expanded exercises75% of the exercises are revised, with 100 new exercises. NEW More Online Software. A unified, agent-based approach to AIorganizes the material around the task of building intelligent agents. Comprehensive, up-to-date coverage includes a unified view of the field organized around the rational decision making paradigm. A flexible format-makes the text adaptable for varying instructors' preferences.