Abstract
Chaos theory became extremely popular in the 1980s due to a wide adoption of some aspects in the works of Edward N. Lorenz1 and Benoit Mandelbrot2 — the socalled “butterfly effect,” self-similarity or the graphically fascinating illustrations of different fractals became the subjects of a broad non-scientific discussion as well. Regardless of whether the shape of coastlines, the branches of blood vessels or the complex behavior of dynamic systems are represented, chaos theory is occasionally given the significance of a “deus ex machina” — a universal explanation model for complex “natural” structures and processes. The euphoria for this discipline is also reflected by the title of James Gleick’s book “Chaos: Making a New Science,” [6] where the author predicted a paradigm shift in physics evoked by chaos theory.
American meteorologist (1917–2008).
French mathematician of Polish origin, born 1924.
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(2009). Chaos and Self-Similarity. In: Algorithmic Composition. Springer, Vienna. https://doi.org/10.1007/978-3-211-75540-2_6
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