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The chapter in no way serves as a substitute for these books but rather an introduction to the eld and a case study of several characteristic examples The chapter is populated with cellular automaton examples of reaction diffusion processes We have chosen cellular automatons to study computation in reaction diffusion media because cellular automatons can provide just the right fast prototypes of reaction diffusion models The examples of best practice include models of BZ reactions and other excitable systems [21,31], chemical systems exhibiting Turing patterns [54,56,58], precipitating systems [5], calcium wave dynamics [55], and chemical turbulence [23] We therefore consider it reasonable to interpret the cellular automaton local update rules in terms of reaction diffusion chemical systems and reinterpret the cellular automaton rules in novel designs of the chemical laboratory reaction diffusion computers. 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Cellular automaton models of reaction diffusion and excitable media capture essential aspects of the natural media in a computationally tractable form A cellular automaton is a in our case two-dimensional lattice of nite automatons, or an array of cells The automatons evolve in a discrete time and take their states from a nite set All automatons of the lattice update their states simultaneously Every automaton calculates its next state depending on the states of its closest neighbors (throughout. When multiple photos are open in Photoshop, you can be arrange them inside the workspace several different ways. By default each image is opened in Tab mode, which means that the photos are stacked on top of one another with only the current image visible. Individual images are brought to the front of the stack by clicking their tabs. This is convenient when you want to focus on a speci c image, but it makes it dif cult when you want to compare images or transfer information between images. 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