Showing posts with label perceptron. Show all posts
Showing posts with label perceptron. Show all posts

20080326

I should be doing work

Two days behind and I'm just pointing the web-cam back at the computer screen.


20080124

a ( e^z+e^(iz) ) + c


Adding a rotation and scaling parameter hes increased the variety of fractals that can be observed in Perceptron. Gradient and coloring methods are important for revealing the structure of the maps, and a gradient control parameter has been added. Functions of the form a ( e^z+e^(iz) ) + c, ( a and c complex ) have been providing much amusement.


20070422

BLIT : a short story

BLIT: a short story by David Langford

Terrifyingly relevant to what Mike and I are working on.

"2-6. This first example of the Berryman Logical Image Technique (hence the usual acronym BLIT) evolved from AI work at the Cambridge IV supercomputer facility, now discontinued. V.Berryman and C.M.Turner [3] hypothesized that pattern-recognition programs of sufficient complexity might be vulnerable to "Gödelian shock input" in the form of data incompatible with internal representation. Berryman went further and suggested that the existence of such a potential input was a logical necessity ...

... independently discovered by at least two late amateurs of computer graphics. The "Fractal Star" is generated by a relatively simple iterative procedure which determines whether any point in two-dimensional space (the complex field) does or does not belong to its domain. This algorithm is now classified."

What do you think the odds are that we make something like this?