CSE 841 - Artificial Intelligence 

Fall 2016


 

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Course Info

Readings

Homeworks

Class Notes

Links

Tuesdays and Thursdays: 12:40 pm -2:00 pm, 1300 Engineering Building (MSU map )

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; planning; robotics.    

Rather than presenting 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. Furthermore, 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 natural brain-mind.

Syllabus updated Sept 1, 2015

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Instructor Information

Instructor: Dr. Juyang (John) Weng

Office: 3144 Engineering Building

Office Hours: Wednesdays 5:00-6:00pm and Fridays 5:00-6:00pm or by appointment.

Phone: 353-4388

Email: weng@cse.msu.edu.

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



 

Homeworks

(for CSE841 students only)

Homework1: Solution1

Due: Sunday, Sept. Oct. 2, 2016

Homework2: Solution 2

Due: Sunday, Oct. 16, 2016

Homework3Solution 3

Due: Sunday, Nov. 6, 2016

Homework4: Solution 4

Due: Sunday, Nov. 20, 2016

Homework5:

Due: Sunday, Dec. 18, 2016

Class Notes  (for CSE841 students only)
 

  9/1, video
9/6
9/8
9/13 9/15
9/20 9/22
9/27 9/29
10/4 10/6
10/11 10/13
10/18 10/20, exam1
10/25 10/27
12/2 11/3
11/8 11/10
11/15 11/17
11/22 -
11/2912/1
12/6 12/8, exam2

Reading Assignments (Critiques due on Wednesdays before class) 

Week

Topics

Text Reference

Reading

Week 1

Administrivia

-

-

Week 2

Agents and Tasks

Ch. 1 

Computing Machinery and Intelligence, by Turing. Critique due Thur.

Week 3

Representation and Search

Ch. 2

Creativity and Unpredictability by Boden

Week 4

Autonomous Development

Ch. 3

The Chinese Room Argument by Larry Hauser. Critique due Thur.

Week 5

Neurons and Features (I)

Ch. 4

Little Thoughts of Thinking Machines by McCarthy

Week 6

Neurons and Features (II)

Ch. 4

Autonomous Mental Development by Robots and Animals by Weng et al. Critique due Thur.

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 Thur.

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 Thur.

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 Thur.

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