Authors: Udo E. Steinemann
C. E. SHANNON - with his theory of communication - was the first one who developed a concept for capturing information quantitatively. He found a measure for a kind of information relevant when rarity of events is decisive. His approach aimed on character-sequences of equal lengths and composed of elements from a symbol-set. Each symbol possesses its individual meaning and may appear differently often in a selected sequence. In such an environment it’s possible to specify a probability of any symbol found in an arbitrary sequence. In the following a similar attempt is made in order to find an information-measure for attractors decoded or encoded by Multi-Reduction-Copy-Machines (MRCMs). But in contrast to SHANNON’s theory where the approach is based on statistical considerations, the new measuring-method is guided by considering complexity of structures.
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