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Comment on Ask HN: Where to start on creating AI for games?

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The best start I ever had to Artificial Intelligence was via UC Berkeley's CS188 course[1]. This course takes you through the very foundations of AI, from search to planning to basic probability theory. It's been imitated at universities around the world with its open lectures, slides, homework assignments and project code.

The projects are the very best part of this course. You start with a blank slate PacMan agent trying to pick up dots to something able to track & dodge ghosts without even seeing them (!). It's what inspired me to continue AI research 7 years down the road!

[1]: http://inst.eecs.berkeley.edu/~cs188/fa11/lectures.html

Hey there, thanks for the great link!

As for AI (in general, not only for games) - AFAIK nowadays most serious work is done in non-symbolic, statistics/stochastic direction (including all the Big Data and ML stuff)... So what do you think about pure symbolic AI? Is there any research/advancements done in this part? I know I'm oversimplifying it, but I think you got the point... :)

This also appears to be available as an archived edx course: https://www.edx.org/course/artificial-intelligence-uc-berkel...

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