I added a "magic" check box on the app so you can switch on this evolution, then add new players if desired, goals, and let the population grow and the best adapted selected over time.
Friday, 19 September 2014
Adding evolution to the mix
My second experiment was about using a simple evolutive algorithm to fine adjust the goal strengths in order to get the best possible set of strengths given the environment you place the players in.
I added a "magic" check box on the app so you can switch on this evolution, then add new players if desired, goals, and let the population grow and the best adapted selected over time.
I added a "magic" check box on the app so you can switch on this evolution, then add new players if desired, goals, and let the population grow and the best adapted selected over time.
Follow my orders!
After some months without working in this algorithm, I am back with some new ideas to code, but before this, I want to show you a couple of experiments I made before the summer break.
First one, showed at the talk in Miguel Hernandez University in an early stage, is just a concept test: could this intelligence be used to drive a vehicle without effort and safely, but following you directions in real time?
Imagine a real car using this algorithm to drive you anywhere, you can let it drive for you as in a google car, but with an added hability of a "semi-autonomous mode".
First one, showed at the talk in Miguel Hernandez University in an early stage, is just a concept test: could this intelligence be used to drive a vehicle without effort and safely, but following you directions in real time?
Imagine a real car using this algorithm to drive you anywhere, you can let it drive for you as in a google car, but with an added hability of a "semi-autonomous mode".
Tuesday, 1 July 2014
Why do reductive goals exits?
Ten minutes ago I discovered what exactly "reductive" goals represent, or I think so.
As you know (other way, read the old post first) this entropic intelligence needs a simulation of a system to be able to work, but also, if you pretend it to make some hard work for you, you also need a set of "goals" that represent how much you earn when system travels from point A to point B.
Those goals I already talked about, could be categorised in "positive" goals, like earning points for the meters you run, or the energy you pick. Then we also needed "reductive" goals to make it work properly.
As you know (other way, read the old post first) this entropic intelligence needs a simulation of a system to be able to work, but also, if you pretend it to make some hard work for you, you also need a set of "goals" that represent how much you earn when system travels from point A to point B.
Those goals I already talked about, could be categorised in "positive" goals, like earning points for the meters you run, or the energy you pick. Then we also needed "reductive" goals to make it work properly.
Sunday, 29 June 2014
On the media for the first time!
I want to share an recent article about the video of the seminary I held by Francis Villatoro (@emulenews), one of the more important science blogger in spanish.
The original article is in plain spanish, but google does a nice work this time, so you can read it translated to english if you wish.
I can't be happier today!
The original article is in plain spanish, but google does a nice work this time, so you can read it translated to english if you wish.
I can't be happier today!
Friday, 27 June 2014
Video: Seminary about entropic intelligence
Last May I held a little seminary (90 mins.) about this concept of "entropic intelligence" and how it could be used on optimizing and cooperative games at Miguel Hernandez University in Elche, Spain (UMH).
It was a talk in spanish, and youtube doesn't allow me to edit any subtitles, so don't trust even the automatic spanish subtitles, I had a look around and well, it was a big joke!
It is by far the best way to "catch up" with all the concepts presented on this blog!
It was a talk in spanish, and youtube doesn't allow me to edit any subtitles, so don't trust even the automatic spanish subtitles, I had a look around and well, it was a big joke!
It is by far the best way to "catch up" with all the concepts presented on this blog!
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.
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):
http://cio.umh.es/2014/05/07/conferencia-de-d-sergio-hernandez-cerezo.html
A google translation of the abstract, not so bad... once I have fixed some odd wordings:
Abstract:
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.
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):
http://cio.umh.es/2014/05/07/conferencia-de-d-sergio-hernandez-cerezo.html
A google translation of the abstract, not so bad... once I have fixed some odd wordings:
Abstract:
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.
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