ICM

Artificial Life Simulation – Not a stock market visualization

Posted by on December 19, 2010 at 1:50 pm

As described earlier, using an artificial life ecosystem and stock market data seemed like a good combination for a visualization project. It just got a little beyond my ability to deliver. Instead, I decided to work purely on an ecosystem with evolving behaviors. Even the evolving behaviors proved complex because although it’s a relatively simple [...]

ICM Final Proposal – Visualizing Financial Markets as Eco-Systems

Posted by on November 23, 2010 at 2:10 am

Although there is an enormous amount of talk concerning the economy and the financial markets, there appears to me to be very little good visualization of the two that’s publicly available. Most tend to be classic bar and line graphs. Although some interesting work has been done by: Ben Schneiderman, Martin Wattenberg, “the SEC Data Guy” and [...]

Simulated Evolution using Processing

Posted by on October 31, 2010 at 7:43 pm

In the May 1989 issue of Scientific American, A.K. Dewdney published a column on a program called “BUGS” that created a simulation of bacterial growth and evolutionary behavioral changes. The BUGS! program (actually called “Simulated Evolution”), was published by Michael Palmiter of “Life Science Associates” from Bayport, New York. I still have the program, although [...]

ICM Objects & Arrays Worms Sketch

Posted by on October 5, 2010 at 6:19 pm

example //Info: http://processingjs.org/reference // Array of worm objects – dave boyhan – 10/4/10 int wormCount = 20; // the number of worms int ScreenSize = 600; // size of scrreen worm[] wormArray = new worm[wormCount]; // create wormArray of worms void setup() { size(200,200); // create screen smooth(); wormArray = new worm[wormCount]; // initialize arry [...]