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Artificial Intelligence: A Modern Approach
The first edition of Artificial Intelligence: A Modern Approach has become a classic of Al literature. It has been adopted by over 600 universities in 60 countries, and has been praised as the definitive synthesis of the field. For the second edition, every chapter has been extensively rewritten. Significant new material has been introduced to cover areas such as constraint satisfaction, fast propositional inference, planning graphs, Internet agents, exact probabilistic inference, Markov Chain Monte Carlo techniques, Kalman filters, ensemble learning methods, statistical learning, probabilistic natural language models, probabilistic robotics, and the ethical aspects of Al.
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