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The Game of Life, also known simply 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 ...
A cellular automaton (pl. cellular automata, abbrev. CA) is a discrete model of computation studied in automata theory. Cellular automata are also called cellular spaces, tessellation automata, homogeneous structures, cellular structures, tessellation structures, and iterative arrays. [2] Cellular automata have found application in various ...
Free or open-source. Advanced Simulation Library - open-source hardware accelerated multiphysics simulation software. ASCEND - open-source equation-based modelling environment. Cantera - chemical kinetics package. Celestia - a 3D astronomy program. CP2K - Open-source ab-initio molecular dynamics program.
In computing, an emulator is hardware or software that enables one computer system (called the host) to behave like another computer system (called the guest). An emulator typically enables the host system to run software or use peripheral devices designed for the guest system. Emulation refers to the ability of a computer program in an ...
What is the Game of Life? British mathematician John Conway invented the Game of Life in 1970. Basically, the Game of Life tracks the on or off state—the life—of a series of cells on a grid ...
Avida is an artificial life software platform to study the evolutionary biology of self-replicating and evolving computer programs (digital organisms).Avida is under active development by Charles Ofria's Digital Evolution Lab at Michigan State University; the first version of Avida was designed in 1993 by Ofria, Chris Adami and C. Titus Brown at Caltech, and has been fully reengineered by ...
Artificial life (ALife or A-Life) is a field of study wherein researchers examine systems related to natural life, its processes, and its evolution, through the use of simulations with computer models, robotics, and biochemistry. [1] The discipline was named by Christopher Langton, an American theoretical biologist, in 1986. [2]
APL (named after the book A Programming Language) [ 3 ] is a programming language developed in the 1960s by Kenneth E. Iverson. Its central datatype is the multidimensional array. It uses a large range of special graphic symbols [ 4 ] to represent most functions and operators, leading to very concise code.