I publish my first app on google play today. It’s a meditation app. It measures how long before you become distracted in your meditation practice. It’s free. [ https://play.google.com/store/apps/details?id=com.minoritygames.tapmeditation ]
chegra
Karma: 23
I have created a skype group for anyone who wants to develop strong AI or are currently working on strong AI:
skype:?chat&blob=8vCsZ-zaNyxXCRsQpSNZ6pEFFl7VpQe33C5MJJnF2Wjo5f9HMgprBpDSZIf3Rfw_3q33nui7zCZoiDg5aPqlO8kU
Copy the link in a skype window and click on it. To get a better view of the link check my twitter: https://twitter.com/xyzgra/status/424217149394014208
I placed 34th(top 10%) in Kaggle facebook recruiting III competition: http://www.kaggle.com/users/45975/chester-grant
I haven’t built it yet. I’m in the process of learning how to build languages at udacity: https://www.udacity.com/course/cs262 . But, the only thing I think it would have different than other languages is the code generation.
I’m working on a new imperative programming language called Akasha. It’s a language where genetic programming can be done in a few lines. The language will allow for the user to use a default function set or they can specify what function set to include in their program generation. The programs generated will be Turing complete unless otherwise specified by the user by limiting the function set. Users will be allow to specify the amount of time a program generated will be allowed to run to prevent infinite loops. Also, the language will allow for a memory limit. It will also allow for program generation by other methods such as hill-climbing or simulated annealing.
The user will be allowed to specify parts of the program he wants generated. So for example, they might know the code they want is in a for loop, but don’t know the content of the for loop. They can write something like: for(int i = 0; i < 10000; i++){
}
For the longest while I have been trying to figure what AIXI is about. Tell me if I got it correct:
We are in an unknown world that has a utility function to maximise. For instance, we are in a pacman game and we are trying to gain the maximum score possible.
Based on the previous observation and rewards, AIXI forms different model for predicting which action will maximise future rewards. It chooses the model with the greats rewards with a small program size.
If it can be done, I will do it. Thx for the positive support. :D