Algorithmic worlds 


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About algorithmic worldsIntroductionAlgorithmic art Pictorial algorithms Ultra Fractal Algorithmic worlds Piling patterns The structure Pattern generators Index operators The piling operator An example Other modules 
The piling operatorThis module is the core of the piling algorithm. The piling operator is an atypical module, in the sense that it uses a whole tree of modules as input (see the figure here). This tree of module by itself produces a pattern. The role of the piling operator is to generate copies at various scales of this pattern, and combine them. (An example was shown here.) We now discuss some parameters which modify the way the pattern is piled, and therefore alter the appearance of the final image. The small scale copies of the pattern are usually damped compared to
the large scale copies, to avoid the final picture becoming too noisy. The
most natural damping is a power law: the amplitude of a pattern is
proportional to some power, traditionnaly called beta (B), of its characteristic size. The parameter B has a direct interpretation from an artisitic point of view: it governs the smoothness of the picture. Here are three examples:
The parameter B is what could be called an artistically relevant parameter. Its value alters the picture in a clear and foreseeable way, so it provides the artist with a useful tool. The discovery and the implementation of artistically relevant parameters are of fundamental importance during the creation of an algorithm. Without such parameters, the algorithm is useless. It is a difficult task, because the parameters having a clear mathematical interpretation are not always artistically relevant. Finding a good set of parameters is one of the artistic aspect of writing algorithms. There is another interesting tunable parameter, the magnification step. We always mentioned that copies of the pattern "at various scales" should be piled. Practically, each copy of the pattern is obtained from the preceding one by a scaling by a fixed factor, that we call the magnification step. This image uses a magnification step of 2. Indeed, the largest Dshapes are twice as big as the next to largest ones, which are themselves twice as big as the next to next to largest, and so on. This image uses a magnification factor of 4. The largest squares are four times as big as the next to largest ones. The reader can check that the magnification factor is equal to 3 for this image, and to 5 for this image. Finally, shifting the smaller copies of the pattern can appreciably change the resulting image. Consider the following three images.
The first shows a basic pattern. The second and the third show the
result of piling it, the two piling differing by a shift of the smaller
copies of the pattern.


