Reference material

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| 15 || Fri || Right-now:  Dr. Gill Pratt, Toyota Research Institute || 4SRN  
| 15 || Fri || Right-now:  Dr. Gill Pratt, Toyota Research Institute || 4SRN  
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| 18 || Mon || [https://ai6034.mit.edu/wiki/images/Boosting-notes.pdf Boosting notes],  [https://ai6034.mit.edu/wiki/images/Boosting-notes-winston+ortiz.pdf Winston and Ortiz boosting notes], [http://courses.csail.mit.edu/6.034f/ai3/msri.pdf Shapire boosting paper]  || 4  
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| 18 || Mon || [https://ai6034.mit.edu/wiki/images/Boosting-notes.pdf Boosting notes],  [https://ai6034.mit.edu/wiki/images/Boosting-notes-winston+ortiz.pdf Winston and Ortiz boosting notes], [http://courses.csail.mit.edu/6.034f/ai3/msri.pdf Shapire boosting paper], [https://ai6034.mit.edu/wiki/images/BoostingSlides.pdf Lecture Slides]  || 4  
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| 20 || Wed || Natural language processing, Dr. Boris Katz || 4SRN  
| 20 || Wed || Natural language processing, Dr. Boris Katz || 4SRN  

Revision as of 23:39, 19 November 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, Lecture Slides 4
20 Wed Natural language processing, 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 -
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