rouli

wonderful!

Coincidently, I read today a paper [1], which has a nice video demo here [2] describing a very similar system but with only one type of cells and a simple rule. Surprisingly enough, particles form cell type structure and seem to "reproduce".

[1] http://www.nature.com/articles/srep37969

[2] https://www.youtube.com/watch?v=makaJpLvbow

really nice! in your fitness function - wouldn't you prefer to normalize somehow for the the line's length? i.e. - longer lines (going between two far away pins) will cover more dark pixels, and are more likely to be picked, even though they might also cover many bright pixels. I wonder if the average darkness of pixels along the line will work better?

another data point - http://insights.onavo.com/top-apps/

This is fun! I took the boys average weight data given in [1]

months from conception, average weight (kilos)

(9, 3.25)

(15, 7.5)

(21, 9.97)

(33, 12.88)

(45, 14.97)

(69, 18.97)

and saw that it really looks like a logarithmic function. So, fitted y to log(x), got y~7.4685*log(x)-13, with R^2=0.9965 (thank you R!). Extrapolated back, and found that at conception, the fetus weighs -inf kilos. Not surprising result, I must say. However, I was surprised to find that only after five months of gestation, the embryo reaches the critical mass of 0 kilos. Science!

[1] http://www.buzzle.com/articles/average-weight-for-children-b...

cool idea!

could be useful for companies (like the one I work at) for employees to tweet via the company official account which is handled by marketing. (If you don't already), you may want a review panel for outgoing tweets, for which (I think) you can charge.