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    Artificial Intelligence.ppt

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    Artificial Intelligence.ppt

    1、Artificial Intelligence,Intelligent?,What is intelligence?,computational part of the ability to achieve goals in the world,somewhere, something went wrong,What is AI?,Computational models of human behavior? Computational models of human “thought” process? Computational systems that behave intelligen

    2、tly? Computational systems that behave rationally !,Rationality:,Perceiving the world around it, a rational agent selects an actionto maximize the performance measure Using Evidence provided in perception sensors Built in knowledge of the agent,Applications of AI,Video games, Robocup, NERO Theorem p

    3、roving Speech recognition Understanding natural language (stories) Machine translation (English-Russian) Robotics (Computer vision),Machine translation,The spirit is willing but the flesh is weak,English Russian - English,The spirit is willing but the flesh is weakThe vodka is strong but the meat is

    4、 rotten,AI applications (contd.),Driving autonomous vehicles Tactical guidance system for military aircraft Satellite meta command system Automatic operation of trains Robots for micro-surgery,AI in electrical gadgets,Navigation system for automatic cars Cruise control for automobiles Single button

    5、control of washing machines Camera autofocus Back light control for camcorders Auto motor control of vacuum cleaners Camera aiming for sporting events,Decision support systems,Medical reasoning systems Planning rocket launching, large assemblies Intelligent tutoring systems Fault diagnosis in power

    6、plants Direct marketing Fraud detection for finance Stock market predictions,AI pioneers,Alan Turing(1912-1954) Father of computer science Turing test for AI Marvin Minsky (MIT) Built first Neural network computer SNARC John McCarthy ( Stanford University ) Developed LISP, AI programming language,ht

    7、tp:/nerogame.org/,General issues and applications of AI ,Problem solving, Search strategies,Intelligent searching,Course contents, Knowledge Representation,First order predicate logic, , Frames Conceptual dependency,Game playing Problem solving using Planning,Uncertainty handling,Fuzzy Logic based i

    8、nferencing, Machine learning introduction to neural networks and genetic algorithms, Expert Systems,Natural Language Processing,Reference books:,Artificial Intelligence A modern approach, S. Russell and P.Norvig, Pearson Education. Artificial Intelligence, Elaine Rich and K Knight, Tata McGraw Hill, reprint 2003,Evaluation:,Minor I 20% Minor II 20% Quiz tests and Major test: 40% Assignments: 20%,


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