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A cellular automaton consists of a regular grid of cells, each in one of a finite number of states, such as on and off (in contrast to a coupled map lattice). The grid can be in any finite number of dimensions. For each cell, a set of cells called its neighborhood is defined relative to the specified cell.
The game has been endorsed by the Journal of Cell Science. [1]Alex Rosenwald, in a review for Board Game Quest, stated that the concept of protein synthesis "shines through in all facets of gameplay", with the game mechanics and organelle cell functions aligning into an "immersive experience of creating and transporting various chemicals in and out of the cells". [3]
The Game of Life, also known as Conway's Game of Life or simply Life, is a cellular automaton devised by the British mathematician John Horton Conway in 1970. [1] It is a zero-player game, [2] [3] meaning that its evolution is determined by its initial state, requiring no further input. One interacts with the Game of Life by creating an initial ...
Cell games may refer to: Cell games (cellular automaton), a discrete model of computation studied in automata theory; Cell Games (Dragon Ball), a fictional martial ...
The array of cells of the automaton has two dimensions. Each cell of the automaton has two states (conventionally referred to as "alive" and "dead", or alternatively "on" and "off") The neighborhood of each cell is the Moore neighborhood; it consists of the eight adjacent cells to the one under consideration and (possibly) the cell itself.
The cell is the basic structural and functional unit of all forms of life. Every cell consists of cytoplasm enclosed within a membrane; many cells contain organelles, each with a specific function. The term comes from the Latin word cellula meaning 'small room'. Most cells are only visible under a microscope.
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A non-biological entity with a cellular organizational structure (also known as a cellular organization, cellular system, nodal organization, nodal structure, et cetera) is set up in such a way that it mimics how natural systems within biology work, with individual 'cells' or 'nodes' working somewhat independently to establish goals and tasks ...