Abstract
AbstractCellular automata are apt to realize a mathematical model for studying and analyzing the behaviour of any complex and sophisticated natural phenomenon. Each element of a natural system generally changes its action or behaviour based on its surroundings and its own state. Cellular automata consist of cells where each cell evolves depending on its neighbouring cells and a predefined logic with discrete time and space. Hence, the cells in cellular automata can be used to model elements of a natural phenomenon, and several physical and biological events of a natural system. John von Neumann’s proposed model of self-reproducing cellular automata tried to reduce the gap between man-made automata and natural system. On the other side, the simplified structure of Wolfram’s elementary cellular automata described the logic behind the apparently chaotic behaviour of natural systems. The concept of Game of Life developed by John Conway explained the biological processes, like birth, death, population, etc., of various living organisms such as fishes in the sea, bacteria in food or animal body, and growth of infected blood cells in the human body. This close correlation between nature and theory of cellular automata always inspires scientists and researchers to orientate their research interest towards this field. This paper focuses on the nature-inspired complex computing with cellular automata, established by famous scientists. It also shows how modern age scientists effectively utilize those computing methods to bring innovations in science and technology.KeywordsCellular automataGame of LifeElementary cellular automataRule mean term
Published Version
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