Artificial Intelligence: A Modern Approach
$84.00 (as of Jun 26, 2017, 11:48 pm)
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This is an introduction to the theory and practice of artificial intelligence. It uses an intelligent agent as the unifying theme right through, and covers areas that are now and again underemphasized somewhere else. These include reasoning under uncertainty, learning, natural language, vision and robotics. The book also explains in detail one of the crucial more latest ideas in the field, including simulated annealing, memory-bounded search, global ontologies, dynamic belief networks, neural nets, inductive logic programming, computational learning theory, and reinforcement learning.
Artificial Intelligence: A Modern Approach introduces basic ideas in artificial intelligence from the perspective of building intelligent agents, which the authors define as “anything that may be viewed as perceiving its environment through sensors and acting upon the environment through effectors.” This textbook is up-to-date and is organized the use of the recent principles of good textbook design. It includes historical notes at the end of each and every chapter, exercises, margin notes, a bibliography, and a competent index. Artificial Intelligence: A Modern Approach covers a big selection of material, including first-order logic, game playing, knowledge representation, planning, and reinforcement learning.
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