For 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.

• The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language.
• Increased coverage of material-Includes expanded coverage of: default reasoning and truth maintenance systems, including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms.
• Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises.
• On-line Java software. Makes it easy for students to do projects on the web using intelligent agents.
  A unified, agent-based approach to AI-Organizes 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.
• In-depth coverage of basic and advanced topics. Provides students with a basic understanding of the frontiers of AI without compromising complexity and depth.
• Pseudo-code versions of the major AI algorithms are presented in a uniform fashion, and Actual Common Lisp implementations of the presented algorithms are available via the Internet.