AI is the science and engineering of making intelligent machines which can

Ai is the science and engineering of making

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“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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CS 561, Lecture 1 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? What tasks require AI?
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CS 561, Lecture 1 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: Requires physical interaction and needs perception and actuation.
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CS 561, Lecture 1 Acting Humanly: The Full Turing Test Problem: 1) Turing test is not reproducible, constructive, and amenable to mathematic analysis. 2) What about physical interaction with interrogator and environment?
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CS 561, Lecture 1 Acting Humanly: The Full Turing Test Problem: 1) Turing test is not reproducible, constructive, and amenable to mathematic analysis. 2) What about physical interaction with interrogator and environment? Trap door
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CS 561, Lecture 1 What would a computer need to pass the Turing test? Natural language processing: to communicate with examiner. Knowledge representation: to store and retrieve information provided before or during interrogation. Automated reasoning: to use the stored information to answer questions and to draw new conclusions. Machine learning: to adapt to new circumstances and to detect and extrapolate patterns.
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CS 561, Lecture 1 What would a computer need to pass the Turing test? Vision (for Total Turing test): to recognize the examiner’s actions and various objects presented by the examiner. Motor control (total test): to act upon objects as requested. Other senses (total test): such as audition, smell, touch, etc.
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CS 561, Lecture 1 Thinking Humanly: Cognitive Science 1960 “Cognitive Revolution”: information- processing psychology replaced behaviorism Cognitive science brings together theories and experimental evidence to model internal activities of the brain What level of abstraction? “Knowledge” or “Circuits”? How to validate models? Predicting and testing behavior of human subjects (top-down) Direct identification from neurological data (bottom-up) Building computer/machine simulated models and reproduce results (simulation)
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CS 561, Lecture 1 Thinking Rationally: Laws of Thought Aristotle (~ 450 B.C.) attempted to codify “right thinking” What are correct arguments/thought processes?
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