On Randomness and the Genetic Behavior of Cellular Automata

We investigate a new approach in utilizing a given classification to cellular automata to search for a particular behavior cellular automaton with a genetic algorithm. This investigation leads to the formation of two new concepts. The first is creating a new method to measure randomness in finite bi...

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Bibliographische Detailangaben
Hauptverfasser:	Toutounji, H., Aljundi, A.C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Automata Binary sequences Biological cells Biological system modeling Biology computing cellular automata chromosomity classification Concurrent computing Cryptography finite binary sequence fitness fuzzy Genetic algorithms Genetic engineering patternless randomness Stability
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Beschreibung
Zusammenfassung:	We investigate a new approach in utilizing a given classification to cellular automata to search for a particular behavior cellular automaton with a genetic algorithm. This investigation leads to the formation of two new concepts. The first is creating a new method to measure randomness in finite binary sequences depending on iterations in patterns. The second is the sculpturing of the term chromosomity. As defined in this paper, a property is said to be chromosomic (i.e. has chromosomity or shows a genetic behavior) if it can be searched for with a genetic algorithm.
DOI:	10.1109/ICTTA.2008.4530320