Artificial Intelligence: A Modern Approach

This text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. This book 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. It uses the Internet as a sample application for intelligent systems. Examples of logical reasoning, planning, and natural language processing using Internet agents. This book promotes student interest with interesting, relevant exercises. This new edition includes 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.