Russell S., Norvig P. Artificial Intelligence. A Modern Approach

2nd edition. — Pearson, 2011. — 200 p.In the second edition, every chapter has been extensively rewritten. Significant new material bas been introduced to cover areas such as constraint satisfaction, fast propositional inference, planning graphs, internet agents, exact prebabilistic inference, Markov Chain, Monte Carlo techniques, Kalman filters, ensemble learning methods, statistical learning, probabilistic natural language models, probabilistic robotics, and ethicai aspects of AI.
The book is supported by a suite of online resonrees inchuting source code, figures, Iecture slides, a directory of over 800 links to "AI on the Web, " and an online discussion group.