Golly (program)

Last updated

Golly
Initial releaseJuly 2005;20 years ago (2005-07) [1]
Stable release
v5.0 / October 2025;0 months ago (2025-10) [1]
Preview release
v5.0b1
Repository sourceforge.net/projects/golly/
Written in C++ (wxWidgets)
Operating system Linux, FreeBSD, OpenBSD, Windows, OS X, iOS, Android
License GNU GPLv2 [2]
Website golly.sourceforge.io

Golly is a tool for the simulation of cellular automata. It is free open-source software written by Andrew Trevorrow and Tomas Rokicki; [3] it can be scripted using Lua [1] or Python. It includes a hashlife algorithm that can simulate the behavior of very large structured or repetitive patterns such as Paul Rendell's Life universal Turing machine, [4] and that is fast enough to simulate some patterns for 232 or more time units. [5] It also includes a large library of predefined patterns in Conway's Game of Life and other rules. [6]

References

  1. 1 2 3 "Golly Help: Changes". golly.sourceforge.net. Retrieved 2016-10-02.
  2. ↑ "Golly download". sourceforge.net. Retrieved 2017-07-26.
  3. ↑ Delahaye, Jean-Paul (April 2009). "Le royaume du Jeu de la vie" (PDF). Pour la Science (in French): 86–91. Archived from the original (PDF) on 2020-06-14..
  4. ↑ Rendell, P. (2011). "A universal Turing machine in Conway's Game of Life". 2011 International Conference on High Performance Computing and Simulation (HPCS) (PDF). pp. 764–772. doi:10.1109/HPCSim.2011.5999906. S2CID   35957181. Archived from the original (PDF) on 2014-03-11. Retrieved 2012-12-09.
  5. ↑ Gotts, Nicholas M. (2009). "Ramifying feedback networks, cross-scale interactions, and emergent quasi individuals in Conway's Game of Life" (PDF). Artificial Life. 15 (3): 351–375. doi:10.1162/artl.2009.Gotts.009. PMID   19254180. S2CID   16527203..
  6. ↑ Eppstein, David (2010). "Growth and Decay in Life-Like Cellular Automata". In Andrew Adamatzky (ed.). Game of Life Cellular Automata. Springer. pp. 71–97. arXiv: 0911.2890 . Bibcode:2010golc.book...71E. doi:10.1007/978-1-84996-217-9_6. ISBN   9781849962179. S2CID   37007937.
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