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Georgia Tech's Knowledge Based AI class (on Udacity: https://www.udacity.com/course/knowledge-based-ai-cognitive-...)

Fantastic course, more focused on theory than programming, but full of deeply fascinating commentary on what is knowledge, intelligence, learning, etc. and what does it mean for a program to demonstrate it (ie. what is AI anyway?).

My daughter was about 18 mo. old at the time I took the class, it was an outrageously awesome added bonus to watch a little human learn all the things I was trying to get a computer to learn at the same time.



I took the same course as part of the OMS CS[0] program. I wasn't terribly a fan of the lectures, but the most fascinating part for me was the course project: building an AI agent that solves Raven's Progressive Matrices[1], basically a visual IQ test. Really intriguing and challenging stuff... easy to get "easy" problems right, but incredibly hard for any of the harder[2] ones. I do wish I didn't have to mess with any computer vision, and instead spent more time integrating more concepts in KBAI.

[0]: http://www.omscs.gatech.edu/

[1]: https://en.wikipedia.org/wiki/Raven%27s_Progressive_Matrices

[2]: http://www.highiqpro.com/iq-tests-iq-scores-iq-questions/mat...


I took the class during my undergrad at Tech and I could not agree more. There was such a disconnect between the class material and the project.

Additionally, this is the class that gave us "Jill Watson", the robot TA.

http://www.cbc.ca/news/technology/robot-ta-ai-1.3585801




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