CSE 841 - Artificial Intelligence

Fall 2012

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Course Info

Readings

Homeworks

Class Notes

Links

Mondays and Wednesdays: 10:20 a.m. - 11:40 a.m., 1202 Engineering Building (13,E )

Description

This is a graduate course in Artificial Intelligence. Types of intelligence; learning; development; brain-mind architecture; symbolic representation; emergent representation; knowledge representation; cognitive models; goal-based systems; heuristic search; games as environments; deductive systems and expert systems; vision; audition; touch; language understanding; robotics.

Rather than present AI as a loose collection of ideas and
techniques, this course will strive to emphasize important unifying themes that occur throughout many areas of AI research.
Further, to take advantages of recent exciting multidisciplinary advances in understanding and modeling the brain and the emergence of the mind, we will link this unifying theme with the brain-mind.

Syllabus updated August 30, 2012

Instructor Information

Instructor: Dr. Juyang (John) Weng

Office: 3144 Engineering Building

Office Hours: Tue, Thu: 4:30 p.m. - 5:30 p.m. or by appointment.

Phone: 353-4388

Email: weng@cse.msu.edu.

Note: Emails and telephone calls are not good for asking techncial questions.

Text (for CSE841 students only)	Updated
Ch01.pdf	08/30/12
Ch02.pdf	10/16/12
Ch03.pdf	09/21/12
Ch04.pdf	10/15/12
Ch05.pdf	10/08/12
Ch06.pdf	10/22/12
Ch07.pdf	10/31/12
Ch08.pdf	11/07/12
Ch09.pdf	11/19/12
Ch10.pdf	11/21/12
Ch11.pdf	11/22/12

Homeworks

(for CSE841 students only)

Homework1: Solution1	Due: Sunday, Sept. 30, 2012
Homework2: Solution 2	Due: Sunday, Oct. 14, 2012
Homework3: Solution 3	Due: Sunday, Nov. 4, 2012
Homework4: Solution 4	Due: Sunday, Nov. 18, 2012
Homework5:	Due: Sunday, Dec. 16, 2012

Class Notes (for CSE841 students only)

Lecture-w1-d1	Lecture-w1-d2
Lecture-w2-d1	Lecture-w2-d2
Lecture-w3-d1	Lecture-w3-d2
Lecture-w4-d1	Lecture-w4-d2
Lecture-w5-d1	Lecture-w5-d2
Lecture-w6-d1	Lecture-w6-d2
Lecture-w7-d1	FA-DN-detail
Lecture-w8-d1	Lecture-w8-d2
Lecture-w9-d1	Lecture-w9-d2
Lect-w10-d1	Lect-w10-d2
Lect-w11-d1	Lect-w11-d2
Lect-w12-d1	Lect-w12-d2
Lect-w13-d1	Lect-w13-d2
Lect-w14-d1

Reading Assignments (Critiques due on Wednesdays before class)

Week	Topics	Text Reference	Reading
Week 1	Administrivia, intro to AI	Ch. 1
Week 2	Agents and Tasks	Ch. 1	Computing Machinery and Intelligence, by Turing, ritique due Wed. 09/05/2012
Week 3	Representation and Search	Ch. 2	Creativity and Unpredictability by Boden
Week 4	Autonomous Development	Ch. 3	The ChineseRoom Argument by Larry Hauser, Crititue due Wed. 09/19/12
Week 5	Neurons and Features (I)	Ch. 4	Little Thoughts of Thinking Machines by McCarthy
Week 6	Neurons and Feafures (II)	Ch. 4	Autonomous Mental Development by Robots and Animals by Weng et al. Crititue due Wed. 10/03/12
Week 7	Properties of Representation	Ch. 5	Learning to extract symbolic knowledge from the world wide web by Mitchell et al.
Week 8	Brain-Mind Architecture, Exam 1	Ch. 6
Week 9	Spatial Processing (I)	Ch. 7	Elephants don't Play Chess. By Brooks, Critique due Wed. 10/24/10
Week 10	Spatial Processing (II)	Ch. 7	Speech Recognition with Dynamic Bayesian Nets. by Zweig and Russell
Week 11	Temporal Processing	Ch. 8	The Symbol Grounding Problem ... etc. 9 pages by Cangelosi et al., Critique due Wed. 11/07/10
Week 12	Neuromodulation	Ch. 9	The Ecology of Echo by Harber et al.
Week 13	Meuromodulation	Ch. 9	Autonomous Driving in Traffic: Boss and the Urban Challenge Critique due Wed. 11/24/10
Week 14	Generalization	Ch. 10	High-level Perception, Representation and Analogy, A Critique of Artificial Intelligence Methodology. by Chalmers et al.
Week 15	Group Intelligence	Ch. 11

Useful Links

Games, Demos