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CS 151: Introduction to Artificial Intelligence Professor Sara Owsley Sood
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Course Goals Apply basic Artificial Intelligence techniques… …to solve real-world (current day) Artificial Intelligence problems, and in the process… …appreciate how HARD Artificial Intelligence really is (and why) Apply basic Artificial Intelligence techniques… …to solve real-world (current day) Artificial Intelligence problems, and in the process… …appreciate how HARD Artificial Intelligence really is (and why)
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AI is a HUGE field Definition of AI? My Definition “ Building programs that enable computers to do what humans can do. ” Ex: read, walk around, play games, solve problems, learn, have conversations. Definition of AI? My Definition “ Building programs that enable computers to do what humans can do. ” Ex: read, walk around, play games, solve problems, learn, have conversations.
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Misconceptions Misconceptions first AI in movies or TV? These set expectations high We can ’ t do all these things Misconceptions first AI in movies or TV? These set expectations high We can ’ t do all these things
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What are the goals of AI? How do we measure success? Think like a human Cognitive Modeling Think rationally Logic Act like a human Turing Test Act rationally Rational Agents
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Natural Language Understanding Speech recognition Natural language processing Generation Natural language generation Speech & gesture generation LOQUENDO KATE DEMO Understanding Speech recognition Natural language processing Generation Natural language generation Speech & gesture generation LOQUENDO KATE DEMO
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Knowledge Representation: Common Sense What would happen if I dropped my computer on the ground (and how do you think I would react?) How do you get common sense into a computer? Opencyc.org and OMCS (OpenMindCommonSense) How many facts? What would happen if I dropped my computer on the ground (and how do you think I would react?) How do you get common sense into a computer? Opencyc.org and OMCS (OpenMindCommonSense) How many facts?
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Automated Reasoning Game playing Planning Route Finding
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What does it mean for the computer to learn? Supervised Unsupervised What does it mean for the computer to learn? Supervised Unsupervised Learning “circle”“square”“circle”“square” … “group these into two categories”
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Perception Visual Image Understanding Task: find the table
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Robotics Do you have to be smart to walk? MIT Leg Lab: D. Paluska et al. http://www.ai.mit.edu/projects/leglab/robots/robots.html Sony QRIO
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Emotions Kismet, C. Breazeal, MIT (image courtesy of P. Menzel)
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Strong AI versus Weak AI
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Timeline of AI history
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Course Logistics - syllabus
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Introduction to Python >>> x = 5 #no variable types or declarations >>> y = 10 #python has implicit typing >>> x + y #meaning that the type is implied by whatever #you do to the variable 15 >>> x = 'hi there' >>> x + y Traceback (most recent call last): File " ", line 1, in TypeError: cannot concatenate 'str' and 'int' objects >>> x + str(y) 'hi there10' >>> x[0] ##treat a string as a list 'h' >>> x[0:4] ##substring of a string is a sublist - slices 'hi t' >>> myL = [2]*5 ##can do powerful things >>> myL ##what do you think this will do? [2, 2, 2, 2, 2] >>> myL[2] = 0
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Some Python!
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provide all of the methods and data members available to an object No memorizing! Just use dir & help… help(listSearch) dir(“foo”) help(“foo”.split) dir(str) help(str.split) dir(42) dir([]) dir and help !
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