So called "Intelligente behaviour" can be defined in a pure thermodinamic languaje, using just "entropy". Formulaes look pretty intimidating, but once you get the idea, coding it into a working AI is quite simple.
Fractalizing the same idea takes away entropy calc form the AI and makes it work much better.
After that Guillem forgot to go home and stayed coding a little more at the office. This morning the algorithm was able to load test proteins and try to fold them by minimising the Lennard-Jones potential of the cluster. He sleept in the sofa!
Guillem Duran, my friend and college from twitter, is now full-time at work with me at converting the "one way" fractal algorithm used in my latest AI into a "serious" general optimising algorithm in python: given a function, find its global (as opposed to local) maximum -or minimum- value it can get on its entire domain -the points on the state space where the function is defined.
Last week we finished the conversion, so we are just starting to benchmark it against other "state of the art" similar algorithms, but to have a first view of the you have a preliminar video here:
