Thursday, 27 February 2014

Video 1 - The basics.

Before this blog I used to publish videos on a Youtube playlist about how the AI was better on this or that, it gave me a way to get comments on the subject.

Now that the blog is up and working, I would like to start by reviewing all those "old videos" and give an explanation on how the algorithm was working by this time, how good it was and witch things needed to be changed.

So today we will comment on the first video, it is the most important one to understand in order to get the whole idea of the algorithm, so read carefully and comment on any aspect you feel is not cleared in this post, I will try to help my best.

So start by watching the video:

Wednesday, 26 February 2014

Wellcome to the Entropic AI blog

In this my first post, I would like to introduce you to the history behind this kart simulation.

Back in april 2013, I read an article at (big thanxs to José Elias for the greatest blog) about a new approach at artificial intelligence based solely on entropy concepts, driven just by thermodinamical laws, that was surprisingly good in making phisyc systems, of any kind, to "behave intelligently": Causal Entropic Forces by Alexander D. Wissner-Gross.

It chatched my attention so I jumped from link to link to link in search of some more insight on it. Reading those links made me understand the idea even before taking a look at the original paper, and when I read the world "Montecarlo", the algorithm popped up in my mind.

So I sat and code a quick and dirty approach to the algoritm in a couple of days, resulting in the first version of the kart simulator. It was very very simple, but the AI managed to drive the kart on track quite impresivley... and I didn't code anythink like "run" or "drive inside the track".