Week 4: Cellular Automata, Fractal Techniques

click here for ideas to try from this class.

Here are some interesting links -- I demonstrated most of these in class:

Cellular Automata Links

Developing a Simple Cellular Automata Music Program

Even though there are a whole bunch of snazzy cellular automata programs out there (check out the links above...), we decided to go ahead and create a simple CA/music program in class. One of the first decisions we had to make concerned the mapping of CA parameters onto salient musical paramaters. Because of the elegance of the patterns that unfold in a simple 1-dimensional CA, it seemed like a potentially interesting idea to map these to a constantly-evolving rhythm.

So we created a simple program that would generate 16 "hits", and used a "1" to represent a "hit" and a "0" to represent a rest.

To accomplish this, we used a 2-dimensional array, where one dimension of 16 elements stored the "1"s or "0"s, and the other dimension held the immediately-past and currently-calculated rows (why?). The code for this CA is as follows:

[NOTE: this program makes use of the RTcmix randfuncs library, compile it by saying: or use the 'cells' Makefile to compile it.]

Notice the flipping from 1 row of the 2-dimensional array to the other accomplished towards the end of the program by: cur is always 1 'behind' next, which keeps going from 0 to 1 and then back to 0.

Also notice the method used for the calculation of the next row of "1"s and "0"s. The algorithm sets the variables left and right to be equal to the values of the cells to the immediate left and right of the cell in the row currently under consideration, using a value of "0" is the cell is at the far left of the row and a value of "1" if it is at the far right:

The rule it applies to calculate the next row is very simple. If the two next-door neighbors of the current cell are 0 or 2 (calculated by adding the values of the neighbor cells), the current cell will be set to "0" in the next generation. If the summed values of the neighbors equals "1" (i.e. either one or the other of the neighboring cells is a 1, but not both), then the current cell will be set to a "1" in the next generation -- regardless of its present value. If you want to think of this anthropomorphically, imagine that if a cell's neighborhood is too sparse (both neighbors == 0) or too populated (both neighbors == 1), then the cell will "die" and be "0" in the next generation. If the crowding is just right (only one neighbor == 1), then the cell will survive -- or be born anew -- and take the value "1" for the next generation.

The code that accomplishes this is quite simple:

Even with this very basic rule, the output of this little CA can be remarkably complex: Next we simply replaced the printf() statement with an appropriately formatted START command for the STRUM instrument: The variables start and beat are used to track and increment time as necessary (both are declared as type float). By routing the output into a file and adding the rtsetparams() line at the front, we can run this score to hear the output realized as sound.

Finally, we translated the core of this program into a simple X/motif application, cellautoG, that generated a display of the emerging 1-dimensional CA as well as sending out each row of note-data in real time (this makes use of the RTtimeit() function described in the Week 4 class. We won't be wading through the X-windows code for this application. You may download it and peruse at will with the link below.

Here is a picture of a sample run of cellautoG:

click here to download the source code + Makefile for the CAs described in the class, including the cellautoG program.

Ideas to Try!!!!!!!

1. Allow the 1-dimensional CA to take on more than a binary value, and map the new set of values to different musical parameters.

2. Create a set of rules for a 2-dimensional CA and set up mappings to musical parameters. How will you interpret the 2-dimensional field "musically"? Look at the CA links at the top of this web page for examples of 'life' and other 2-D CAs for ideas...

3. Although we didn't do any specific work with fractal techniques in this class, the approach of setting up a mapping to particular musical parameters is quite similar. Check out some of the fractal-web links at the top of this page and imagine some potential musical applications.