ASCII Game of Life
Rate 2.64 / 14 votes
More than 752 users worldwide
Current version: 0.5.0.4
Price: FREE
More than 752 users worldwide
Current version: 0.5.0.4
Price: FREE
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No, this is not the board game. This game is John Conway's Game of Life - ASCII version.An ASCII based version of John Conway's Game of Life. --> Not the board game <--
No, this is not the board game. This game is John Conway's Game of Life - ASCII version. This game is a zero player game - a cellular automaton - a "discrete model studied in computability theory, mathematics, physics, complexity science, theoretical biology and microstructure modeling. Cellular automata are also called cellular spaces, tessellation automata, homogeneous structures, cellular structures, tessellation structures, and iterative arrays. "
"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 (usually including the cell itself) is defined relative to the specified cell. An initial state (time t=0) is selected by assigning a state for each cell. A new generation is created (advancing t by 1), according to some fixed rule (generally, a mathematical function) that determines the new state of each cell in terms of the current state of the cell and the states of the cells in its neighborhood. Typically, the rule for updating the state of cells is the same for each cell and does not change over time, and is applied to the whole grid simultaneously, though exceptions are known, such as the probabilistic cellular automata and asynchronous cellular automaton.
The concept was originally discovered in the 1940s by Stanislaw Ulam and John von Neumann while they were contemporaries at Los Alamos National Laboratory. While studied some throughout the 1950s and 1960s, it was not until the 1970s and Conway's Game of Life, a two-dimensional cellular automaton, that interest in the subject expanded beyond academia. In the 1980s, Stephen Wolfram engaged in a systematic study of one dimensional cellular automata, or what he calls elementary cellular automata, showing that some of the rule sets were Turing-complete. He published A New Kind of Science in 2002, claiming that cellular automata have applications in many fields of science."
*** Version 1.0 ***
Includes a fixed size grid, with fixed duration generations. No other features available. The grid is randomly seeded any time the application resumes (whenever it is no longer in view, then is brought back into view).
*** Upcoming Features ***
Configurations - choose generation speed, draw cells though touch, pause and resume generation tick, change symbol representing each cell, change colors.
No, this is not the board game. This game is John Conway's Game of Life - ASCII version. This game is a zero player game - a cellular automaton - a "discrete model studied in computability theory, mathematics, physics, complexity science, theoretical biology and microstructure modeling. Cellular automata are also called cellular spaces, tessellation automata, homogeneous structures, cellular structures, tessellation structures, and iterative arrays. "
"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 (usually including the cell itself) is defined relative to the specified cell. An initial state (time t=0) is selected by assigning a state for each cell. A new generation is created (advancing t by 1), according to some fixed rule (generally, a mathematical function) that determines the new state of each cell in terms of the current state of the cell and the states of the cells in its neighborhood. Typically, the rule for updating the state of cells is the same for each cell and does not change over time, and is applied to the whole grid simultaneously, though exceptions are known, such as the probabilistic cellular automata and asynchronous cellular automaton.
The concept was originally discovered in the 1940s by Stanislaw Ulam and John von Neumann while they were contemporaries at Los Alamos National Laboratory. While studied some throughout the 1950s and 1960s, it was not until the 1970s and Conway's Game of Life, a two-dimensional cellular automaton, that interest in the subject expanded beyond academia. In the 1980s, Stephen Wolfram engaged in a systematic study of one dimensional cellular automata, or what he calls elementary cellular automata, showing that some of the rule sets were Turing-complete. He published A New Kind of Science in 2002, claiming that cellular automata have applications in many fields of science."
*** Version 1.0 ***
Includes a fixed size grid, with fixed duration generations. No other features available. The grid is randomly seeded any time the application resumes (whenever it is no longer in view, then is brought back into view).
*** Upcoming Features ***
Configurations - choose generation speed, draw cells though touch, pause and resume generation tick, change symbol representing each cell, change colors.
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