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Artificial Intelligence: A Modern Approach (Pearson Series in Artificial Intelligence), 4th Edition provides the student a detailed overview of artificial intelligence concepts, including the foundations of artificial intelligence, risks and benefits of AI, problem-solving agents, uninformed search strategies, heuristic functions, game theory, stochastic games, local search for CSPs, effective propositional model checking, using first-order logic, among others. This textbook is direct and concise with systematic content designed to engage today’s student through visually engaging content. There is a wide variety of assignment types that help students master artificial intelligence concepts & build real-world working capability. Artificial Intelligence: A Modern Approach (Pearson Series in Artificial Intelligence), 4th Edition goes into Naive Bayes models, forward and backward chaining, mental objects and modal logic, the Wumpus World, time and uncertainty, decision networks, and bandit problems. A chapter is broken down into uncertain knowledge and reasoning. Buy the textbook Artificial Intelligence: A Modern Approach (Pearson Series in Artificial Intelligence), 4th Edition and be confident in your artificial intelligence education and career.
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