Artificial Intelligence: A Modern Approach

封面
Pearson, 2013年7月31日 - 1091 頁
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.

關於作者 (2013)

Stuart Russell is Associate Professor of Computer Science at the University of California, Berkeley. This book builds on important philosophical and technical work by his coauthor, the late Eric Wefald.

書目資訊