Friday 13 January 2012

Introduction to Artificial Intelligence

Introduction to Artificial Intelligence



Introduction to Artificial Intelligence (Undergraduate Topics in Computer Science)



This concise and accessible textbook supports a foundation or module course on A. Get and download textbook Introduction to Artificial Intelligence (Undergraduate Topics in Computer Science) for free
Introduction to Artificial Intelligence - Wolfgang Ertel
., covering a broad selection of the subdisciplines within this field. The book presents concrete algorithms and applications in the areas of agents, logic, search, reasoning under uncertainty, machine learning, neural networks and reinforcement learning. Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and Introduction to Artificial Intelligence new edition

Download free books for Introduction to Artificial Intelligence: Addison-Wesley Series in Computer Science


Introduction to Artificial Intelligence: Addison-Wesley Series in Computer Science: Drew Mcdermott, Eugene Charniak

Categories: Artificial intelligence, Cognitive science, Artificial intelligence. Contributors: Mike Sharples - Author. Format: Paperback

Categories: Artificial intelligence. Contributors: Philip C. Jackson Jr. - Author. Format: Paperback

Categories: Artificial intelligence. Contributors: Philip C. Jackson Jr. - Author. Format: Paperback



Introduction to Artificial Intelligence Textbook



Topics and features: presents an application-focused and hands-on approach to learning the subject; provides study exercises of varying degrees of difficulty at the end of each chapter, with solutions given at the end of the book; supports the text with highlighted examples, definitions, and theorems; includes chapters on predicate logic, PROLOG, heuristic search, probabilistic reasoning, machine learning and

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