Transcript ماهو علم الذكاء الاصطناعي ؟

CSC 450
INTRODUCTION TO
ARTIFICIAL INTELLIGENCE
AI
‫مدخل الي الذكـاء االصطناعي‬
OUTLINES
What is Artificial Intelligence?
 Why to study it?
 Course Objectives
 AI research and applications


With examples
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BOOKS
Prolog Programming for
Artificial Intelligence
Artificial Intelligence: A
Modern Approach
Ivan Bratko,Addison
Wesley 2009, ISBN-13 /
EAN: 9780201403756
Stuart Russell, Peter
Norvig, “3/E, Prentice
Hall 2010, ISBN-13:
9780132126847.
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WHAT IS ARTIFICIAL ?

From Dictionary:
Made by man, not natural
 Example: artificial flowers, artificial lights


In computer we need an agent
 An agent is an entity that perceives and acts

A computer application designed to automate certain
tasks


Example: gathering information online.
What is rational agent?

Rational behavior: doing the right thing
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‫?‪IS INTELLIGENCE‬‬
‫‪ ‬الذكاء البشري ‪Human Intelligence‬‬
‫‪ ‬القدرة على فهم االشياء وتعلمها‬
‫‪ ‬احلس و االستنتاج ‪ ,‬االستنباط ‪ ,‬التحليل ‪ ,‬االدراك‬
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‫‪WHAT‬‬
WHAT IS ARTIFICIAL INTELLIGENCE (AI)
 Science
‫ هو ذلك العلم الذي حياول حماكاة الذكاء البشري‬
that study the simulation of the human
intelligence
 perceiving, thinking, learning and acting.
o
o
o
The attempt to make computers “more intelligent”.
To understand the nature of human intelligence.
Emulate/simulate/mimcs
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Four categories AI definitions :
2.Systems that think rationally.
3.Systems that act like humans.
4.Systems that act rationally.
3/24/2017
1.Systems that think like humans.
COURSE LEARNING OBJECTIVES CLO

To learn fundamental techniques of artificial
intelligence, including





symbolic programming
knowledge representation,
search,
inference,
learning, and planning.
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WHY STUDY AI?
Search engines
Science
Medicine/
Diagnosis
Labor
Appliances
What else?
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ARTIFICIAL INTELLIGENCE IN THE MOVIES
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ARTIFICIAL INTELLIGENCE IN REAL LIFE
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Face detection
Formal verification
HONDA HUMANOID ROBOT
Walk
Turn
http://world.honda.com/robot/
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Stairs
SONY AIBO
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http://www.aibo.com
IMPORTANT AI
RESEARCH AND APPLICATION AREAS
1.
2.
3.
4.
5.
6.
7.
8.
9.
Game Playing
Expert Systems
Natural Language Understanding and
Semantic Modeling
Vision
Planning and Robotics
Languages and Environments for AI
Machine Learning
Automated Reasoning and Theorem Proving
Alternative Representations: Neural Nets and
Genetic Algorithms
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GAME PLAYING
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EXPERT SYSTEMS ES
‫النظم الخبيرة‬
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SPEECH RECOGNITION
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FACE RECOGNITION
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COMPUTER VISION
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ROBOTS
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NATURAL LANGUAGE PROCESSING NLP
To analyze and process natural languages
 Text Mining

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Extracting reliable information from text
Search Engines
Context based search engines
 Spell checker in Google

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IMAGE PROCESSING

Examples:
Plate number recognition (sahir)
 Character recognition (Google books)
 Medical recognition (diagnosis )
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IMAGE PROCESSING
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A human can do some things better than a computer

The ability to:
 acquire and learn faster
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Make right Decisions
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Discover mistakes and correction
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Experience transmission

Distinguish between the different kinds of knowledge

The innovations
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A COMPUTER CAN DO SOME THINGS BETTER
THAN A HUMAN CAN

Speed in computation

Do repetitions

Information Storage and retrieval

Low cost
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WHAT YOU KNOW
What is AI?
 Why to study it?
 Course Objectives
 AI research and applications


With examples
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