Matakuliah Tahun Versi : T 0264/Inteligensia Semu : 2005 : 1/0 Pertemuan 1 WHAT IS ARTIFICIAL INTELLIGENCE ? 1
Learning Outcomes Pada akhir pertemuan ini, diharapkan mahasiswa akan mampu : • << TIK-99 >> • << TIK-99>> 2
Outline Materi • • • Materi 1 Materi 2 Materi 3 Materi 4 Materi 5 3
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. 4
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 5
1. 1 The AI Problem Some of the task domains of Artificial Intelligence • Formal Tasks Games : – – Chess Backgammon Checkers Go Mathematics : – – Geometry Logic Intergral calculus Proving properties of programs 6
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 7
1. 2 The Underlying Assumption • Pembahasan 8
1. 3 What is an AI Technique? 1. 3. 1 Tic Tac Toe 9
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. Q 1: What did Marry go shopping for ? Q 2: What did Marry find that she liked? Q 3: Did Marry buy anything ? 10
1. 3 What is an AI Technique? A Structure Representation of a Sentence Event 2 Instance : Finding Tense : Past Agent : Marry Object : Thing 1 Instance : Coat Color : Red Event 2 Instance : Liking Tense : Past Modifier : Much Object : Thing 1 11
1. 3 What is an AI Technique? • Shopping Script : – Roles – Props – Location : C(customer), S(salesperson) : M (merchandise), D(dollars) : L (a store) 12
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’ 13
1. 3. 3 Conclusion of AI Technique – Search – Use of Knowledge – Abstraction 14
• • 1. 4 The Level of the Model 1. 5 Criteria for Success 1. 6 References 1. 7 Final Word 15
<< CLOSING>> 16