This is a model plugin for Evoplex.
It lets you define any life-like cellular automaton.
The model accepts two parameters: birth and survival. They indicate the number of neighbours needed for a dead cell to become alive and an active one to survive respectively.
For example, let's take the most popular example: Conway's Game of Life which is defined by the rule B3/S23 so this translates to birth=3 and survival=23.
This means that every dead cell can become active in the next generation if and only if it has exactly 3 live neighbors.
Likewise, an active cell will survive if it has either 2 or 3 live neighbors and will die otherwise.
The empty rule is defined by -1. For example, the correct configuration for B123/S is birth=123, survival=-1.
The figure below shows an experiment implementing the Replicator plugin.
If you mention this model or the Evoplex software in a publication, please cite it as:
Cardinot, M., O’Riordan, C., Griffith, J., & Perc, M. (2019). Evoplex: A platform for agent-based modeling on networks. SoftwareX, 9, 199-204. https://doi.org/10.1016/j.softx.2019.02.009
@article{Evoplex,
author = "Marcos Cardinot and Colm O’Riordan and Josephine Griffith and Matjaž Perc",
title = "Evoplex: A platform for agent-based modeling on networks",
journal = "SoftwareX",
volume = "9",
pages = "199 - 204",
year = "2019",
issn = "2352-7110",
doi = "10.1016/j.softx.2019.02.009",
url = "http://www.sciencedirect.com/science/article/pii/S2352711018302437"
}
This plugin is licensed under the MIT License terms.