Matakuliah
Tahun
Versi
: T0264/Inteligensia Semu
: 2005
: 1/0
Pertemuan 1
WHAT IS ARTIFICIAL INTELLIGENCE ?
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Learning Outcomes
Pada akhir pertemuan ini, diharapkan mahasiswa
akan mampu :
• << TIK-99 >>
• << TIK-99>>
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Outline Materi
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Materi 1
Materi 2
Materi 3
Materi 4
Materi 5
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WHAT IS ARTIFICIAL INTELLIGENCE ?
• Artificial Intelligence definition
– Artificial Intelligence is the study of how to
make computers do things at which, at the
moment, people are better.
• Rich,E. and Knight,K. Artificial Intelligence,
1991.
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1.1 The AI Problem
Some of the task domains of Artificial Intelligence
• Mundane Tasks
– Perception :
– Vision
– Speech
 Natural Languange :
– Understanding
– Generation
– Translation
 Commonsense reasoning
 Robot control
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1.1 The AI Problem
Some of the task domains of Artificial Intelligence
• Formal Tasks
 Games :
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Chess
Backgammon
Checkers
Go
 Mathematics :
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Geometry
Logic
Intergral calculus
Proving properties of programs
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1.1 The AI Problem
Some of the task domains of Artificial Intelligence
• Expert Tasks
– Engineering :
• Design
• Fault finding
• Manufacturing planning
– Scientific analysis
– Medical diagnosis
– Financial analysis
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1.2 The Underlying Assumption
• Pembahasan
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1.3 What is an AI Technique?
1.3.1 Tic Tac Toe
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1.3 What is an AI Technique?
1.3.2 Question Answering Example
Marry went shopping for a new coat. She found
a red one she really liked . When she got it
home, she discovered that it went perfectly
with her favorite dress.
Q1:What did Marry go shopping for ?
Q2:What did Marry find that she liked?
Q3:Did Marry buy anything ?
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1.3 What is an AI Technique?
A Structure Representation of a Sentence
Event2
Instance
:
Finding
Tense
:
Past
Agent
:
Marry
Object
:
Thing1
Thing1
Instance
:
Coat
Color
:
Red
Event2
Instance
:
Liking
Tense
:
Past
Modifier
:
Much
Object
:
Thing1
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1.3 What is an AI Technique?
• Shopping Script :
– Roles
– Props
– Location
: C(customer),
S(salesperson)
: M (merchandise),
D(dollars)
: L (a store)
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1. C enters L
2. C begin looking around
3.C looks for a specific M
4.C looks for any interesting M
5. C asks S for help
6.
7. C finds M’
9.C leaves L 10.C buys M’
8. C fails to find M
11.C leaves L
12. goto step 2
13. C leaves L
14. C takes M’
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1.3.3 Conclusion of AI Technique
– Search
– Use of Knowledge
– Abstraction
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1.4 The Level of the Model
1.5 Criteria for Success
1.6 References
1.7 Final Word
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<< CLOSING>>
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