Reference material
From 6.034 Wiki
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| 9 || Mon|| Right-now: Prof. Pattie Maes, Media Lab|| bonus final SRN | | 9 || Mon|| Right-now: Prof. Pattie Maes, Media Lab|| bonus final SRN | ||
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- | | 11 || Wed || What it's all about revisited, the final, [https://ai6034.mit.edu/wiki/images/AI-related-MIT-classes.pdf follow-on classes] || bonus final SRN | + | | 11 || Wed || [https://ai6034.mit.edu/wiki/images/2019-12-11-wrap-lecture.pdf What it's all about revisited, the final], [https://ai6034.mit.edu/wiki/images/AI-related-MIT-classes.pdf follow-on classes] || bonus final SRN |
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Revision as of 17:19, 13 December 2019
Assignment of material to quizzes is shown below. (Any changes to the information below will be announced well before a quiz.) SRN in an assignment means the material will be in the "spiritual" and "right-now" part of the quiz. See Grading and collaboration policy.
Included below are readings associated with lecture topics; many are from Prof. Winston's book, Artificial Intelligence. (The bibliography for the book can be found here.) If/when terminology differs, prefer terminology used in the current lectures, recitations, and programming labs.
September | Day | Topic | Quiz # |
---|---|---|---|
4 | Wed | What it's all about, summary | |
6 | Fri | Problem solving and goal trees, slides | 1 |
9 | Mon | Rule-based expert systems, slides | 1 |
11 | Wed | Basic search review, slides | 1 |
13 | Fri | Optimal search, boards | 1 |
16 | Mon | Games, games practice 1, games soln 1, games practice 2, games soln 2 | 1 |
18 | Wed | Constraints in interpretation, slides | 2SRN |
20 | Fri | Holiday: Student | - |
23 | Mon | Constraints in resource allocation, slides | 2 |
25 | Wed | Quiz 1, solutions | - |
27 | Fri | Right-now: Dr. Marc Raibert, Boston Dynamics | 2SRN |
30 | Mon | Nearest neighbor learning, slides | 2 |
October | Day | Topic | Quiz # |
2 | Wed | Identification tree learning, boards | 2 |
4 | Fri | Right-now: Prof. Ed Boyden, Dept. of Biological Engineering | 2SRN |
7 | Mon | Neural net learning, slides | 3 |
9 | Wed | Deep neural nets, slides | 2SRN |
11 | Fri | Right-now: Prof. Aleksander Madry, Dept. of EECS | 2SRN |
14 | Mon | Holiday: Columbus day | - |
16 | Wed | Quiz 2, solutions | - |
18 | Fri | AlphaGo and AlphaGo Zero, slides, boards | 3SRN |
21 | Mon | Support vector machines, SVM notes, slides | 3 |
23 | Wed | Learning in sparse spaces | 3SRN |
25 | Fri | Genetic algorithms, boards | 3SRN |
28 | Mon | Representations, slides | 3SRN |
30 | Wed | Learning from near misses, boards | 3SRN |
November | Day | Topic | Quiz # |
1 | Fri | Right-now: Prof. Nancy Kanwisher, Dept. of Brain and Cognitive Sciences | 3SRN |
4 | Mon | Architectures: GPS, SOAR, Subsumption, Society of Mind, slides | 4SRN |
6 | Wed | Quiz 3, solutions | - |
8 | Fri | Probabilistic inference (part 1), slides | 4 |
11 | Mon | Holiday: Veteran's day | - |
13 | Wed | Probabilistic inference (part 2), slides | 4 |
15 | Fri | Right-now: Dr. Gill Pratt, Toyota Research Institute | 4SRN |
18 | Mon | Boosting notes, Winston and Ortiz boosting notes, Shapire boosting paper, slides | 4 |
20 | Wed | Natural language and vision, Dr. Boris Katz | 4SRN |
22 | Fri | Merge: Language and evolution, Prof. Robert Berwick | 4SRN |
25 | Mon | Why merge matters: Story understanding, Dylan Holmes | 4SRN |
27 | Wed | The AI Biz | bonus 4SRN |
December | Day | Topic | Quiz # |
2 | Mon | Right-now: Prof. Randall Davis, Dept. of EECS | bonus final SRN |
4 | Wed | Quiz 4, solutions | - |
6 | Fri | Right-now: Prof. Peter Szolovits, Dept. of EECS; slides | bonus final SRN |
9 | Mon | Right-now: Prof. Pattie Maes, Media Lab | bonus final SRN |
11 | Wed | What it's all about revisited, the final, follow-on classes | bonus final SRN |