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Introduction toArtificial Intelligence


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Artificial Intelligence (AI)..AI is not just a movie.

(Bill Gates, Microsoft)

Google was developing Artificial Intelligence andthat the company wasn't far off from completing realAI

(Larry Page, Google co-founder)


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Artificial Intelligence (AI)..

It is the science and engineering of makingintelligent machines, especially intelligent computer

programs. It is related to the similar task of usingcomputers to understand human intelligence, but AIdoes not have to confine itself to methods that arebiologically observable.

(John McCarthy, Stanford University)


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The work toward attaining "artificial intelligence'' isthe center of considerable computer research,

design, and application.

(Marvin Minsky, MIT)


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Artificial intelligence concerns itself with intelligentbehavior.

(Latanya Sweeney, 1992)

the branch of computer sciences that is

concerned with the automation of intelligentbehaviour.

(George F. Luger, 2002)


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AI is concerned about, how to embedded humanintelligent into machine (or computers).

Try to make computer act, behave, think likehuman do.


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AI vs. Natural Intelligent

Artificial Intelligence Natural Intelligence

Consistent Not consistent

Can be copied and transfer Cannot be copied and transfer

Cost low High

Can be documented Difficult to document

Required steps of execution Creative

Symbolic Input Observation

Focus Limited Focus Wider


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AI vs. Conventional Program

AI Program Conventional Program

Based on the knowledge

representation dynamic

Based on the steps defined

difficult to change/update

Symbolic manipulation More to numeric manipulation

Qualitative Quantitative

Can perform reasoning and

produce conclusion

Cannot!


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Foundation of AI

Philosophy Cognitive Science Mathematics Economics Neuroscience Psychology

Computer engineering Control theory and Cybernetics Linguistics


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AI Tree..

Linguistics

Psychology

Philosophy

Electrical Engineering

Management &Management Science

Computer Science

Intelligent Tutor

Expert System

Natural Language

Processing

AutomaticProgramming

Machine LearningSpeech Understanding

Robotic

Game Playing

Neural Network

Fuzzy Logic

Genetic Algorithm

Computer Vision Data Mining

Affective computing


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Application: Automotive

POD: emotion car..

Toyota & Sony. Snow driver emotion and learnedfrom driver experiences.

measure your sweat, pulse Affective Computing


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Application: Robotic

NeCoRo robot cat

Responds to humanmovement/emotions Has feelings and desires Remembers its name and

acknowledges its name whencalled


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Application: KISMET

Natural Language

Processing (NLP) Vision system. Learning from experience.


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Application: Deep Blue

chess-playing computer developedby IBM, on 1997.

Defeated world chess championGarry Kasparov.

Experience based.


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Applications..

Microsoft Clippers

ASIMO

Face Recognition

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