CS 344 - Artificial Intelligence/ CS 386 - Artificial
Intelligence Lab.
Spring 2008
Instructor:
Prof. Pushpak Bhattacharyya (pb[AT]cse.iitb.ac.in)
TAs: sapan,anervaz,avishek
Lecture Schedule and Venue
Slot: 3
Timings: Monday 10:35-11:30, Tuesday 11:35-12:30, Thursday 8:30-9:25
Venue: SIC 201, Kresit
Announcements
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Lecture Notes
- Lecture 1: 03-01-08 - Introduction [ppt]
- Lecture 2 & 3: 05-01-08 - Search [ppt]
- Lecture 4: 14-01-08 - Logic [ppt]
- Lecture 5: 15-01-08 - Deduction Theorem [ppt]
- Lecture 6: 17-01-08 - Soundness and Completeness [ppt]
- Lecture 7 & 8: 21 & 22-01-08 - Inductive Logic Programming[pdf]
- Lecture 9: 28-01-08 - Completeness [ppt]
- Lecture 10: 29-01-08 - Completeness Proof & Introduction of Knowledge Representation [ppt]
- Lecture 10a: 30-01-08 - Knowledge Representation [ppt]
- Lecture 11: 30-01-08 - Robotic Knowledge Representation [ppt]
- Lecture 12 & 13: 04,05-02-08 - Practical Applications of AI(Guest Lectured by Mr. Kaustubh Chokshi) [ppt]
- Lecture 15: 11-02-08 - Robotic Knowledge Representation and Inferencing; Prolog [ppt]
- Lecture 16: 12-02-08 - Prolog [ppt]
- Lecture 17: 25-02-08 - Robotic Planning - Search Issue [ppt]
- Lecture 18: 26-02-08 - Robotic Planning - Search Issue[ppt]
- Lecture 19: 28-02-08 - Probabilistic Planning[ppt]
- Lecture 20: 03-03-08 - Forward Probabilities and Robotic Action Sequences [ppt]
- Lecture 21: 04-03-08 - Forward Probabilities and Robotic Action Sequences Continued [ppt]
- Lecture 22: 10-03-08 - Forward Probability and Robot Plan[ppt]
- Lecture 23: 11-03-08 - Forward Probability and Robot Plan Training [ppt]
- Lecture 24: 13-03-08 - HMM Expression for Alpha and Beta Probabilities [ppt]
- Lecture 25: 17-03-08 - HMM Training [ppt]
- 18-03-08 - Quiz
- Lecture 26: 24-03-08 - Robot-Learning-Reinforcement [ppt]
- Lecture 27: 27-03-08 - Theoretical Aspects of Learning [ppt]
- Lecture 28: 31-03-08 - PAC and Reinforcement Learning [ppt]
- Lecture 29: 03-04-08 - Introduction to Neural Networks [ppt]
- Lecture 30: 07-04-08 - Computing Power of Perceptrons, Perceptron Training [ppt]
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Resources
- Link to Last year webpage
- Prolog
- http://cs.wwc.edu/~cs_dept/KU/PR/Prolog.html
- http://www.cs.may.ie/~jpower/Courses/PROLOG/
- http://www.csupomona.edu/~jrfisher/www/prolog_tutorial/contents.html
- Suggested Reading Material:
- Elaine Rich & Kevin Knight, "Artificial Intelligence", McGraw-Hill
Science/Engineering/Math; 2nd edition.
- Russel S. and Norvig P., "Artificial Intelligence: a Modern Approach", Prentice Hall, 1998.
- Nilsson, N.J., "Artificial Intelligence, a New Approach", Morgan Kaufmann, 2000.
- Mitchell, T., "Machine Learning", McGraw-Hill, 1997.
- Papers: Selected, topic based papers from the
- Journals: Artificial Intelligence, Artificial Intelligence
Programming, Machine Learning, IEEE Expert, Data and Knowledge
Engineering, Pattern Recognition etc.
- Conferences: AAAI, IJCAI, UAI, ICML, ACL etc.
- Stuttgart Neural Network Simulator
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Marks and Grades
Will be posted soon!!
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Student Seminars
Group 1: Chess and AI [ppt]
Group 2: Technological Singularity [ppt] [pdf]
Group 3: Strange loops & Self-reference [ppt]
Group 4: Neuro Vision [ppt]
Group 5: Computational Creativity [ppt]
Group 6: Society Of Mind [ppt]
Group 7: Philosophical Foundations of AI [ppt]
Group 8: Semantic Web [ppt]
Group 9: Genetic Algorithms [ppt]
Group 10: Intrusion Detection Using Hybrid Neural Networks [ppt]
Group 11: The Turing Test [ppt]
Group 12: Swarm Intelligence [ppt]
Group 13: Cognitive Architecture and Artificial Consciousness [ppt]
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