Artificial Intelligence - A Modern Approach - The Intelligent Agent Book

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.

New To This Edition

Nontechnical learning material

• Provides a simple overview of major concepts, uses a nontechnical language to help increase understanding. Makes the book accessible to a broader range of students.

The Internet as a sample application for intelligent systems - Examples of logical reasoning, planning, and natural language processing using Internet agents.

• Promotes student interest with interesting, relevant exercises

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.

• Brings students up to date on the latest technologies, and presents concepts in a more unified manner.

Updated and expanded exercises - 75% of the exercises are revised, with 100 new exercises.

More Online Software.

• Allows many more opportunities for student projects on the web.