Titlebook: Game of Life Cellular Automata; Andrew Adamatzky Book 2010 Springer-Verlag London Limited 2010 Automat.Extension.Turing machine.automata.c

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Conway’s Game of Life: Early?Personal?Recollectionsife. As long as I can remember, my custom would be to seek out the Mathematical Games column in search for Gardner’s latest topic with the usual reader challenges. My first reaction to that particular article introducing a new pastime titled “The fantastic combinations of John Conway’s new solitaire

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Growth and Decay in?Life-Like Cellular?Automataswer that question, we should ask others: What makes life special? If we happen across another system with life-like behavior, how would we be able to recognize it? We are speaking, of course, of the mathematical systems of cellular automata, of the fascinating patterns that have been discovered and

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Object Synthesis in Conway’s Game of Life and?Other Cellular Automatake such rules interesting permit patterns to expand, contract, separate into multiple sub-patterns, or combine with other patterns. Such rules generally include still-lifes, oscillators, spaceships, spaceship guns, and puffer trains. Such structures can often be used to construct more complicated co

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Gliders and Glider Guns Discovery in?Cellular?Automataurprising computational tasks could result from interactions of independent agents in complex systems as emergence of computation is a hot topic in the science of complexity. A promising environment to study emergent computation is cellular automata which are the simplest mathematical representation

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Constraint Programming to Solve Maximal Density Still Lifeugh simple to state, this problem is computationally challenging for any but the smallest sizes of board. Especially difficult is to prove that the maximum number of live cells has been found. Various approaches have been employed. The most successful are approaches based on Constraint Programming (

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