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159.302 Artificial Intelligence Computer Science Massey University at Albany 2004 Semester 2

159.302 Artificial Intelligence Computer Science Massey University at Albany 2004 Semester 2. Lecturer:. Prof Ken Hawick Phone: 414-0800 ext 9532 Office: 2.53 Quad A Email: K.A.Hawick@massey.ac.nz. Lectures:. 3 lectures/tutorials per week: Tues 3:00 pm AT7 Wed 11:00 am AT7

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159.302 Artificial Intelligence Computer Science Massey University at Albany 2004 Semester 2

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  1. 159.302 Artificial Intelligence Computer Science Massey University at Albany 2004 Semester 2

  2. Lecturer: Prof Ken Hawick Phone: 414-0800 ext 9532 Office: 2.53 Quad A Email:K.A.Hawick@massey.ac.nz

  3. Lectures: • 3 lectures/tutorials per week: • Tues 3:00 pm AT7 • Wed 11:00 am AT7 • Thurs 2:00 pm AT7 (Tutorial) • Office Hours: • Immediately after lectures - or by appointment (email)

  4. Text and Course Material Textbook: Russell S. and Norvig P., Artificial Intelligence A Modern Approach, 2nd Ed, Prentice Hall 2003. URL for the book: http://www.cs.berkeley.edu/~russell/aima.html And http://aima.cs.berkeley.edu/ Some lecture notes are available from http://www.massey.ac.nz/~kahawick/159302

  5. Assessment • The course will be assessed by a combination of practical and theoretical work. • There will be 2 practical assignments and one three hour exam. The exam will be a CLOSED BOOK exam. • The marks for this course will be divided as follows: • Item % of Total • Ass1 15 • Ass2 15 • Final Exam 70

  6. 1. Introduction 2. Agent Based Approaches 3. Search 4. Logic 5. Fuzzy Logic 6. Game Playing 7. Expert Systems 8. Planning 9. Machine Learning 10. Natural Language 11. Machine Vision 12. Theorem proving Course Outline

  7. What is AI?

  8. What is AI? • Definitions may be organized into four categories. • Systems that think like humans. • Systems that act like humans. • Systems that think rationally. • Systems that act rationally.

  9. Computer vs Brain (2003)

  10. Application Areas of AI • Game Playing Deep Blue Chess program beat world champion Gary Kasparov • Speech Recognition PEGASUS spoken language interface to American Airlines' EASY SABRE reservation system, which allows users to obtain flight information and make reservations over the telephone.

  11. AI Applications • Computer Vision • Face recognition programs in use by banks, government, etc. • The ALVINN system autonomously drove a van from Washington, D.C. to San Diego (all but 52 of 2,849 miles), averaging 63 mph day and night, and in all weather conditions. • Handwriting recognition, electronics and manufacturing inspection, photo-interpretation, baggage inspection, reverse engineering to automatically construct a 3D geometric model.

  12. Expert Systems • Application-specific systems that rely on obtaining the knowledge of human experts in an area and programming that knowledge into a system. • DENDRAL, mass spectrometer interpreter • MYCIN, modeling medical expert • Microsoft Office Assistant:- customised help to individual user

  13. Financial Decision Making Credit card companies, mortgage companies and banks AI systems detect fraud • expedite financial transactions like credit checks. profiles of customer usage patterns • use profiles to detect unusual patterns take appropriate action.

  14. Mathematical Theorem Proving Use of inference methods to prove new theorems. • Natural Language Understanding • AltaVista automated translation of web pages. • Translation of Catepillar Truck manuals into 20 languages. • (Note: One early system translated the English sentence • "The spirit is willing but the flesh is weak" into the Russian equivalent of "The vodka is good but the meat is rotten.")

  15. Scheduling and Planning • Automatic scheduling for manufacturing. • American Airlines rerouting contingency planner. • European space agency planning and scheduling of spacecraft assembly, integration and verification.

  16. Intelligent Robotics • Robot Toys • Aibo, I-Cybie, LEGO etc • Robot Security • Cye robot • Robot Home Help • Lawn mower, Vacuum cleaner etc

  17. AI "Grand Challenges" • Translating telephone • Accident-avoiding car • Home help robot • Smart clothes • Intelligent agents that monitor and manage information by filtering, digesting, abstracting • Tutors • Self-organizing systems, e.g., that learn to assemble something by observing a human do it.

  18. Summary • Main points to remember: • AI studies the design of systems that {think, act} like {humans, rationally}. • Some of the AI successful applications: decision making, expert systems, natural language understanding, image processing. • See Chapter 1 of Russell & Norvig.

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