6.844 Info
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Welcome to the 2020 Edition of 6.844
Overview
6.844 was created in response to requests from grad students who wanted to take 6.034, but needed graduate level credit.
It is a supplement to 6.034---you will take 6.034 as usual and do all of that work (lectures, labs, quizzes), and in addition attend the 6.844 session and do the work required there. That session will meet every Friday 11am-12pm. Each week there will be a reading assignment focusing on one or more of the foundational, provocative, or intriguing papers from the research literature. You will be expected to do the reading, write up a one page response to a set of questions that will be provided with the reading, and come to class prepared to discuss your (and others') answers to those questions.
The papers will help you learn how to read original research papers in the field and will focus on the science side of AI, addressing the larger scientific questions, rather than existing tools for building applications.
The class is heavy on interaction; you will not be able to just sit back and listen. To keep the class size manageable and to encourage active class participation, we do not allow listeners.
More information about the class can be found here.
Staff
| Prof. Randall Davis Instructor davis@mit.edu | tbd Teaching Assistant theosech@mit.edu |
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We are no longer using this site. Please see the Canvas sites here for information and materials.
Week 1 -- September 11
The paper below is for discussion on Friday, 11 September:
"Steps Toward AI" by Marvin Minsky, available here.
A few comments to guide your reading:
Keep in mind first that this paper was written in 1961, 58 (fifty eight!) years ago.
As the guest editor’s comment indicates, this is very early in the birth of the modern version of the field; Minsky had been invited to write a tutorial overview.
Recall that your job is to summarize the paper in one page. Do that, and also try to comment on these things as well:
1. How many of the ideas Minsky mentions do you recognize as still in use?
2. Does he do a good job of laying out the structure of the field?
3. What is that structure?
4. Consider the sentence near the top of page 9 beginning “A computer can do, in a sense.…” There are several reasons why he starts off that way. List some reasons that seem compelling to you.
