sin - u.0 introduction to ai

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  • 8/9/2019 SIN - U.0 Introduction to AI

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    Block 1, Chapter 0: Introduction to AI, pp. 1Intelligent Systems. ETSInf, Universitat Politcnica de Valncia, 2014-2015

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    ?environment

    agent

    actions

    perceptions

    sensors

    actuators

    AI job:

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    PERCEPTION

    COGNITION

    high-level reasoning

    low-level reasoning

    ACTION

    goal-driven

    behaviour

    actions upon

    the environment

    sensoring the

    environment

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  • 8/9/2019 SIN - U.0 Introduction to AI

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    Block 1, Chapter 0: Introduction to AI, pp. 5Intelligent Systems. ETSInf, Universitat Politcnica de Valncia, 2014-2015

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    AI is concerned with intelligent behaviour in artifacts

    (Nilsson, 1998)

    Design a machine able to

    emulateor simulatehumanintelligence

    Solutions to

    problems!

    Simulate

    Emulate

    Understand the human processing

    65C

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    Block 1, Chapter 0: Introduction to AI, pp. 6Intelligent Systems. ETSInf, Universitat Politcnica de Valncia, 2014-2015

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  • 8/9/2019 SIN - U.0 Introduction to AI

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    MIND

    BEHAVIOUR

    Human-centered

    (empirical science)

    Rationalism

    (mathematics and

    engineering)

    Acting humanly

    Turing test

    Thinking humanly

    The cognitive model

    Thinking rationally

    The laws of thought

    Logic, formal reasoning

    Acting rationally

    The rational agent

  • 8/9/2019 SIN - U.0 Introduction to AI

    8/23Block 1, Chapter 0: Introduction to AI, pp. 8Intelligent Systems. ETSInf, Universitat Politcnica de Valncia, 2014-2015

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    Symbolic AI:Symbols as the basic representation (classic AI).

    Cognitive approach: based on rational theories

    Knowledge + symbols

    Sub-symbolic AI:Signal Processing (Pattern recognition)

    Connectionist approach: Neural networks

  • 8/9/2019 SIN - U.0 Introduction to AI

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    Some popular examples:

    Deep Blue wins a chess game against Kasparov (1997)Intelligent filtering to avoid SPAM (Mozilla)

    Intelligent search (lexical) on the web

    (Google, Lexicon, Scirus , MedSurfer, MetaCrawler), etc...

    and challenges

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