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Artificial Intelligence: A Modern Appro...

3rd Edition

Stuart Russell, Peter Norvig

Publisher: Prentice Hall

ISBN: 9780136042594

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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.

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Intelligence Intelligence means the capacity to acquire and apply knowledge. It is the ability to...Performance measure It tests the student’s understanding of environment, rational actions, and...Goal formulation and problem formulation: Goal formulation: This is a technique for an agent to...a. The local beam search with “k=1” is hill-climbing search. b. Local beam search with one initial...Algorithm for finding optimal move The translation uses the model of the opponent to fill in the...a. Solution A: There exists a variable corresponding to every “n2” positions on the board. Solution...True statement There are eight possible combinations in the three squares. There are four...

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