chapter2 to 6

Chapter2 to 6 - Introduction to Artificial Intelligence Click to edit Master subtitle style CMPT 310 Summer 2011 Oliver Schulte topics Intelligent

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Click to edit Master subtitle style  7/7/11 CMPT 310: Summer 2011 Oliver Schulte Introduction to  Artificial Intelligence
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 7/7/11 topics Intelligent Agents  uninformed and informed search  Constraint Satisfaction Problems  Game playing  First-order Logic  Reasoning under uncertainty  Bayesian networks 
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 7/7/11 Course Aims Assumption: You will be going off to industry/academia Will come across computational problems  requiring intelligence (in humans and computers) to solve Two aims: Give you an understanding of what AI is Aims, abilities, methodologies, applications, … Equip you with techniques for solving problems
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 7/7/11 Computers and Intelligence Why use computers for intelligent behaviour at all? They can do some things better than us. Big calculations quickly and reliably Search through many options. Cognitive Science: building intelligent machines helps us  understand the nature of intelligence.
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 7/7/11 Intelligent Behavior: Examples (?) Learn to flip pancakes Object Tracking roboclean talk roboclean action Watson Game Show Watson U.S. cities
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What is AI? Views of AI fall into four categories: Thinking humanly Thinking rationally Acting humanly Acting rationally  Modern view (ie. Since 1990s): Acting rationally.  In economics and statistics, since the 1920s or 
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This note was uploaded on 07/04/2011 for the course CMPT 310 taught by Professor Oliver during the Summer '11 term at Simon Fraser.

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Chapter2 to 6 - Introduction to Artificial Intelligence Click to edit Master subtitle style CMPT 310 Summer 2011 Oliver Schulte topics Intelligent

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