Cellular automaton (nonfiction): Difference between revisions
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Bernoulli_wappen.png|link=Bernoulli family (nonfiction)|Researchers model [[Bernoulli family (nonfiction)|Bernoulli family]] as cellular automata, discover [[]]. | Bernoulli_wappen.png|link=Bernoulli family (nonfiction)|Researchers model [[Bernoulli family (nonfiction)|Bernoulli family]] as cellular automata, discover [[:File:Crypto de la buse.jpg|pirate treasure map]]. | ||
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Revision as of 18:03, 14 June 2016
A cellular automaton (pl. cellular automata, abbrev. CA) is 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.
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 by 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; his research assistant Matthew Cook showed that one of these rules is Turing-complete.
In the News
Researchers model Bernoulli family as cellular automata, discover pirate treasure map.
Fiction cross-reference
Nonfiction cross-reference
External links:
- Cellular automaton @ Wikipedia