ai-lect1 - Artificial Intelligence A Modern Approach 1...

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1 Artificial Intelligence A Modern Approach
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2 Introduction to Artificial Intelligence Course overview:   Foundations of symbolic intelligent systems.  Agents, search, problem solving, logic, representation, reasoning,  symbolic programming, and robotics. Prerequisites:  Programming principles, discrete mathematics for  computing, software design and software engineering concepts.   Some knowledge of C/C++ for some programming assignments.
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3 Why study AI? Search engines Labor Science Medicine/ Diagnosis Appliances What else?
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4 Honda Humanoid Robot Walk Turn Stairs http://world.honda.com/ASIMO/
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5 Sony AIBO
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6 Natural Language Question Answering http://www.ai.mit.edu/projects/infolab/ http://aimovie.warnerbros.com
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7 Robot Teams USC robotics Lab
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8 What is AI?
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9 Acting Humanly: The Turing Test Alan Turing's 1950 article  Computing Machinery and Intelligence  discussed  conditions for considering a machine to be intelligent “Can machines think?”  ←→  “Can machines behave intelligently?” The Turing test (The Imitation Game): Operational definition of intelligence. Computer needs to posses: Natural language processing, Knowledge  representation, Automated reasoning, and Machine learning Are there any problems/limitations to the Turing Test?
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10 What tasks require AI? “AI is the science and engineering of making intelligent machines  which can perform tasks that require intelligence when performed  by humans  …” What tasks require AI?
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11 What tasks require AI? “AI is the science and engineering of making intelligent machines  which can perform tasks that require intelligence when performed  by humans  …” Tasks that require AI: Solving a differential equation Brain surgery Inventing stuff Playing Jeopardy  Playing Wheel of Fortune What about walking? What about grabbing stuff? What about pulling your hand away from fire? What about watching TV? What about day dreaming?
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Acting Humanly: The Full Turing Test Alan Turing's 1950 article  Computing Machinery and Intelligence  discussed  conditions for considering a machine to be intelligent “Can machines think?”  ←→  “Can machines behave intelligently?” The Turing test (The Imitation Game): Operational definition of intelligence. Computer needs to posses: Natural language processing, Knowledge  representation, Automated reasoning, and Machine learning Problem:  1) Turing test is not reproducible, constructive, and amenable to  mathematic analysis.   2) What about physical interaction with interrogator and  environment? Total Turing Test:
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This note was uploaded on 01/20/2011 for the course CS 6810 taught by Professor Hecker during the Spring '10 term at CSU East Bay.

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ai-lect1 - Artificial Intelligence A Modern Approach 1...

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