Friday, 16 May 2014

Cooperating... or not.

Cooperating is quite easy in this framework: If you get 10 points in your score for a given future, then the other players will also get those 10 extra points. That simple.

So, if we all are cooperating on a goal, then we all share a common scoring for that goal (being it the sum of the scorings for this goal of all the players) no matter who exactly got each point.

In the case of a reductive goal, it is the same, all the players reduce their scoring with the reductive goal a single kart get, so again there is asingle reductive coeficient (multiply the reductive coefs. of all the players to get it) that is shared by all the players.

This last point is not free of troubles: If a players dies, its redcutive goal for health drops to zero, so my own scorings will be all... zero! So I lost the joy of living and let the rocket fall down to ground and break... uh! not so good to cooperate in those conditions!

The following video shows a group of players cooperating on all theirs goals. The effect is not much evident just because one layer of intelligence only simulates five seconds or so, and it is not long enough to really appreciate the difference. I hope the use of a second layer of AI (not implemented yet) will make it much more visible.

Wednesday, 14 May 2014

A seminary on optimizing using entropic intelligence.

This past monday I hold a small seminary on the University Miguel Hernandez (UMH) of Elche about optimizing using this entropy based AI, in short there will be a nice video of it, but in spanish my friends (I will try to subtitle it to english if I have the right to do it on the video and the patience).

The note about the conference can be found here (again, the little abstract is in spanish, and google translate didn't work for this url, at least for me):

A google translation of the abstract, not so bad... once I have fixed some odd wordings:


Entropy is a key concept in physics, with an amazing potential and a relatively simple definition, but it is so difficult to calculate in practice that, apart from being a great help in theoretical discussions, not much real usage is possible.