CSE 841 - Artificial Intelligence

Fall 2008

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Course Info

Readings

Homeworks

Class Notes

Links

Mondays and Wednesdays: 10:20 a.m. - 11:40 a.m., 1225 Engineering Building (13,E )

Description

Graduate survey course in Artificial Intelligence. Types of intelligence, knowledge representation, cognitive models. Goal-based systems, heuristic search, games, deductive systems and expert systems. Computer vision, speech recognition, language understanding, robotics, learning, mental development.

Instructor Information

Instructor: Dr. Juyang (John) Weng

Office: 3144 Engineering Building

Office Hours: Tue, Thu: 7:00 p.m. - 8:00 p.m. or by appointment.

Phone: 353-4388

Email: weng@cse.msu.edu.

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

Course Information

Text Book:

Artificial Intelligence, Russell and Norvig, Prentice-Hall, 2003 (edition 2)

Syllabus

Homeworks

(for CSE841 students only)

Homework1: Solution1	Due: Sept 17 Wed
Homework2: Solution2	Due: Oct. 01 Wed
Homework3: Solution3	Due: Oct. 13 Mon
Homework4: Solution4	Due: Oct. 29 Wed
Homework5: Solution5	Due: Nov. 12 Wed
Homework6: Solution6	Due: Nov. 26 Wed

Class Notes (for CSE841 students only)

For Online Reading	For Printing
Week 1	Week 1
Week 2	Week 2
Week 3	Week 3
Week 4	Week 4
Week 5	Week 5
Week 6	Week 6
Week 7	Week 7
mock-mid	mock-mid
Week 9	Week 9
Week 10	Week 10
Week 11	Week 11
Week 12	Week 12
Week 13	Week 13
Week 14	Week 14
mock2	mock2

Reading Assignments (Critiques due on Wednesdays before class)

Week	Topics	Text Reference	Reading
Week 1	Administrivia, intro to AI	Ch. 1	Computing Machinery and Intelligence
Week 2	Agents	Ch. 2	Creativity and Unpredictability
Week 3	Search basics	Ch. 3-4	The ChineseRoom Argument
Week 4	Recent advances in search	Ch. 6	Little Thoughts of Thinking Machines
Week 5	Logic inference	Ch. 7-8	IBM's Deep Blue Grandmaster chips
Week 6	Planning using logic	Ch. 9, 11	Learning to extract symbolic knowledge from the world wide web
Week 7	Managing uncertainty	Ch. 13	Task Muddiness, Intelligence Metrics, and the Necessity of Autonomous Mental Development
Week 8	Prob. Reasoning & Mid-Term Exam	Ch. 14
Week 10	Planning under uncertainty	Ch. 17	Elephants don't Play Chess.
Week 9	Learning theory	Ch. 18	Speech Recognition with Dynamic Bayesian Nets.
Week 11	Supervised learning	Ch. 20	Artificial Neural Networks, a Tutorial.
Week 12	Reinforcement learning	Ch. 21	The Ecology of Echo
Week 13	Perception	Ch. 24	Reinforcement learning: A Survey
Week 14	Robotics	Ch. 25	High-level Perception, Representation and Analogy, A Critique of Artificial Intelligence Methodology.
Week 15	Mental development.	Notes	Autonomous Mental Development by Robots and Animals

Useful Links

2007-2008 Congnitive Science Distinguished Speaker Lecture Series at MSU
CMU Artificial Intelligence Repository
Homepage of the course text
AAAI Homepage
IEEE Computational Intelligence Society Homepage
Mental Development Repository
Lenny Foner's article on Julia: "What's an agent anyway?"

Games, Demos