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Origins

Origins. Donald Hebb (1949) Hebbian Learning. McCulloch and Pitts (1943) Model of Artificial Neurons. Conference at Dartmouth (1956) McCarthy, Minsky, Shannon, Nathaniel, Samuel (IBM), Solomonoff, Newell and Simon. Newell and Simon General Problem Solver. Origins. McCarthy

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Origins

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  1. Origins Donald Hebb (1949) Hebbian Learning McCulloch and Pitts (1943) Model of Artificial Neurons. Conference at Dartmouth (1956) McCarthy, Minsky, Shannon, Nathaniel, Samuel (IBM), Solomonoff, Newell and Simon. Newell and Simon General Problem Solver

  2. Origins McCarthy LISP (1958) Samuel (1952) Learning to play checkers Minsky’s Microworlds (1963) Blocks world Rosenblatt (1963) Perceptrons (convergence theorem) Simon’s prediction: “computers will beat a chess champion in 10 years” “a significant theorem will be proved by a machine”

  3. Blocks Worlds

  4. Later on… The knowledge problem. “the spirit is willing but the flesh is weak” “The vodka is good but the meat is rotten” US government funding was cancelled (1966) Knowledge based-methods (1969-79) Buchanan with DENDRAL (molecular info. from a mass spectrometer) Minksy and Papert Book Perceptron (1969) Expert Systems MYCIN (diagnose blood infections)

  5. AI becomes Industry (1980 – today) More expert systems. Systems using Prolog. After 1988 companies suffered. The return of Neural Networks Hopfield (1982) Data Mining Bayesian Networks Robotics Computer Vision AI for the Web AI becomes Science neats beat scruffies

  6. What is hot in AI --- List of Invited Talks at the 2004 AAAI/IAAI Conferences • Intelligent Systems and the Nations Vision of Space Exploration • Agents meet the Semantic Web in the Aether • Real Robots for the Real World • Strength of Character: Personalities in Video Games • Human Dynamics • If not Turing Test, then What? • AI and Biomedicine: Helping Scientists with Genomes, Drugs, and Diseases • Building a Life Science Company around Statistical Machine Learning • Applications of Artificial Intelligence to Web Search Peter Norvig, Google

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