I particularly liked that each chapter had an extensive section with historical and biographical notes at the end. In spite of all that, though, it's still a very good book, and a good overview of the field. AI is too legitimate and interesting a field to justify that sort of crap in a university textbook. Chapter 26 ( Philosophical Foundations), in particular, was a fucking embarrassment, giving more unnecessary to idiots like John Searle and Ray Kurzweil, and wasting paper on absurd hand-wringing over off-the-wall science-fiction scenarios. There's a few more chapters after that, but I think it's best to pretend they don't exist. Then it finishes off with an interesting but not really relevant and highly unrigorous (not to mention typo-ridden) overview of Google's various products (mostly PageRank and Google Translate). It starts off strongly for a few hundred pages, but then for no reason at all devotes several chapters to high school-level probability and statistics, before devolving into essentially pointless mathematical show-boating for another few hundred pages. I also don't know why these things always have to have separate ``international'' editions. *Comprehensive, up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa *A unified, agent-based approach to AI-Organizes the material around the task of building intelligent agents. *Makes it easy for students to do projects on the web using intelligent agents. *NEW-Updated and expanded exercises-75% of the exercises are revised, with 100 new exercises. *NEW-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. *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents, planning, and natural language. *NEW-Nontechnical learning material-Accompanies each part of the book.

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. For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.

Stuart russell book ai