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Artificial Intelligence: A Modern Approach (Russell, Norvig, 2009)
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The Case for Using Probabilistic Knowledge in a Computer Chess Program (John L. Jerz)
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3rd Edition

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The long-anticipated revision of this #1 selling book offers the most comprehensive, state of the art introduction to the theory and practice of artificial intelligence for modern applications. Intelligent Agents. Solving Problems by Searching. Informed Search Methods. Game Playing. Agents that Reason Logically. First-order Logic. Building a Knowledge Base. Inference in First-Order Logic. Logical Reasoning Systems. Practical Planning. Planning and Acting. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural Networks. Reinforcement Learning. Knowledge in Learning. Agents that Communicate. Practical Communication in English. Perception. Robotics. For computer professionals, linguists, and cognitive scientists interested in artificial intelligence.

p.192 Chess was one of the first tasks undertaken in AI, with early efforts by many of the pioneers of computing, including Konrad Zuse in 1945, Norbert Wiener in his book Cybernetics (1948), and Alan Turing in 1950... But it was Claude Shannon's article Programming a Computer for Playing Chess (1950) that had the most complete set of ideas

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