1 sesi 1011 topic 1 - overview of ai

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    CIK NUR MAISARAH BT MOHDSOBRAN

    B/1 17

    Universiti Teknikal Malaysia [email protected]

    With Thanks:

    En. Mohd Fairuz

    En. Mohd Razali Bin Mohamad Sapiee

    BEKC 4783

    ARTIFICIALINTELLIGENCE

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    Artificial Intelligent Overview

    Objectives

    To introduce student to the field of

    Artificial Intelligence (AI).

    To understand what is meant by AI.

    To introduce fuzzy logic and neural

    networks as AI techniques.

    To introduce some applications of Fuzzylogic and Neural networks.

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    What Is Human Intelligence?

    In general, intelligence means the ability to learn,

    understand and think in a logical way about things(Oxford).

    Encyclopedia Britannica - The ability to adapt

    effectively to the environment, either by making achange in oneself or by changing the environment.

    It embodies

    learning (a change in oneself). manufacturing and sheltering (changing the

    environment).

    migration (finding a new environment).

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    One way to understand intelligence is bylooking at our own capabilities, which

    means thathumans are able to:

    think

    understand

    recognize generalize

    adapt

    learn

    make decisions solve daily problems

    perceive

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    Several Forms Of Intelligence Of BiologicalSystems

    Capability to Learn

    Capability to Generalize/Classify Capability to Survive

    Gathering of Information

    Recognizing Patterns

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    Babies learn from

    the day they were born!

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    Capability to Learn

    Capability to Generalize/ClassifyCapability to Survive

    Gathering of Information

    Recognizing Patterns

    Several Forms Of Intelligence OfBiological Systems

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    Generalization And Classification

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    Capability to Learn

    Capability to Generalize/ClassifyCapability to Survive

    Gathering of Information

    Recognizing Patterns

    Several Forms Of Intelligence Of

    Biological Systems

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    Human Survive in difficult situation

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    Capability to Learn

    Capability to Generalize/Classify Capability to Survive

    Gathering of Information

    Recognizing Patterns

    Several Forms Of Intelligence Of

    Biological Systems

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    Gathering Information

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    Capability to Learn

    Capability to Generalize/Classify Capability to Survive

    Gathering of Information

    Recognizing Patterns

    Several Forms Of Intelligence Of

    Biological Systems

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    Humans Are Good At Recognizing

    Patterns

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    Humans are good at

    understanding even

    difficult handwritings

    - thus human

    recognition

    capability is robust

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    Other Forms Of Intelligence Of BiologicalSystems Include:

    Self-repair

    Self-guidance

    ReproductionMaking decisions

    Reasoning capability

    Predicting/forecasting

    Understanding noisy or fuzzyinformation

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    What Is Artificial Intelligence?

    Based on Oxford:

    Artificialmade or produced to copy

    something natural.

    Intelligence - the ability to learn,understand and think in a logical way

    about things.

    Artificial Intelligencean area of study

    concerned with making computers copy

    intelligent human behavior.

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    What Is Artificial Intelligence?

    It is a branch of science which deals with helping

    machines find solutions to complex problems in amore human-like fashion.

    This generally involves borrowing characteristics

    from human intelligence and applying them asalgorithms in a computer friendly way.

    http://upload.wikimedia.org/wikipedia/commons/1/17/ArtificialFictionBrain.png
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    What is intelligent systems ?Intelligent system is a system which canexhibit human intelligence by applying

    artificial intelligence approaches.

    Why build intelligent systems ? To decrease the level of human supervision

    to the systems.

    Intelligent systems can give better solutions.

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    Advantages of artificial intelligent systems ? Machines can be used to take on complex and

    stressful work that would be otherwise performed

    by humans.

    Machines can complete the task faster than a

    human assigned to do the same task. Use of robotics to discover unexplored landscape,

    outer space and also be useful in our home

    activities.

    Less danger, injury and stress to humans as thework is done by a artificially intelligent machine.

    Less errors and defects.

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    Disadvantages of Artificial intelligent systems ? Lacks the human touch. Human qualities are

    sometimes ignored.

    The ability to replace a human job. This gives rise

    to humans feeling insecure and may have the

    fear of losing their job.Artificial Intelligence can malfunction and do the

    opposite of what they are programmed to do.

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    Disadvantages of Artificial intelligent systems ?Can AI turn against human?

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    Disadvantages of Artificial intelligent systems ?

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    What is the implication of adding

    intelligence in machines?

    If artificial systems can be made more robust,

    costly redesigns can be reduced or eliminated.

    If higher level of adaptation can be achieved,existing systems can perform their functions

    longer and better

    If machines can be made to be self-organizedthen less operations are needed by humans

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    Is there really an intelligent machine ordevice?

    Lets look at a so-called intelligentdevice thats already available in the market

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    Genie FuzzyLogic Jar

    Cookers

    Example of Products with AI

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    It also has a Neuro-

    Fuzzy Logic System-

    a smart system that

    knowsyour

    lifestyle and learns

    your pattern ofuse(like what time

    the doors are most

    frequently opened or

    closed) and controls

    the refrigerator

    accordingly eitherthrough quick

    cooling, low cool or

    defrosting.

    Example of Products with AI

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    This Refrigerator has a Neuro-Fuzzy Control System

    For Door Cooling and Super-Cooling and Freezing)

    Example of Products with AI

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    Fuzzy Gear-shift Control In Proton Perdana

    Example of Products with AI

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    Wood Recognition By

    Neural Networks

    Bintangor

    Durian

    Nyatoh

    Ramin

    Manual

    inspection

    Example of Products with AI

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    Is there really an IntelligentMachine/System?

    From this point of view it appears that an intelligent

    system (or device) contains a collection of simplefeatures that jointly make the system easy to use

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    Can Machines Be Developed To

    Have Intelligence?

    Perhaps one way to dothis is to developalgorithms based onhuman or animalintelligence

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    Expert Systems

    Fuzzy Logic

    Neural Networks Genetic Algorithms

    Chaos Theory

    Rough Sets

    Artificial Life, etc.

    DNA Computing

    Quantum Computing

    Some Examples of

    Artificial Intelligence Techniques

    Subject Topics

    Many AI techniques have

    been developed based on

    biological systems/behavior

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    Fuzzy Logic Has Been Developed

    From The Human Reasoning Process

    Knowledge

    Base

    Infer

    This is adragon fly!

    Sensor

    Dragon Fly

    6 legs

    wings

    Body with 3 parts Insect

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    Artificial Neural Network Or ANN Is The

    Term Used To Describe A Computer Model

    Assumption Of The Biological Brain.

    An information-processing

    system that has certain

    performance characteristics

    in common with biologicalneural networksAxon

    Soma

    Synapse

    Dendrites

    Nucleus

    wji

    wji

    wji

    oi

    oi

    oi

    f(netj) oj

    AN ARTIFICIAL NEURON

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    Intelligent Systems Design

    Intelligent

    Man-

    Machine

    Interface

    Expert systems

    Fuzzy logic

    Neuralnetworks

    .

    Intelligent machine

    Algorithms,

    computations

    (Sensors)

    ExecutionTASKS

    Expert systems

    Fuzzy logic

    Neuralnetworks

    .

    Cognition

    Perception

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    Why The Need To Develop Intelligent Systems And

    Why Now?

    More challenging problems

    More complex systems

    More powerful computers

    /hardware

    Better/powerful algorithms

    Better software tools

    Mans desires

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    Where AI can/should be applied? Data is overwhelming/abundance

    Too many manual operations/procedures

    Optimization is possible

    Parallel/Distributed procedures/architectures are needed Decision making is required

    When current techniques are too complicated to be

    used/designed

    Mathematical models are too complex /impossible To increase efficiency

    To reduce cost

    To improve performance and reliability

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    Where AI should not be applied? Lack of Data

    Simpler techniques are available / sufficient

    Further optimization is not possible

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    Some Important Facts that you need toknow. AI is not the only solution

    AI is only one part of technology

    AI is just a tool for improvement You must know your domain/target

    application

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