1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchJeff Runninghttps://www.microsoft.com/en-us/research/people/jeffrunn/Self-Organizing Cellular Automata - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="mNzPSctR7m"><a href="https://www.microsoft.com/en-us/research/video/self-organizing-cellular-automata/">Self-Organizing Cellular Automata</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/video/self-organizing-cellular-automata/embed/#?secret=mNzPSctR7m" width="600" height="338" title="“Self-Organizing Cellular Automata” — Microsoft Research" data-secret="mNzPSctR7m" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/self-organizing-cellular-automata-1.jpg320240Cellular automata display an extraordinary range of behavior, ranging from very simple to apparently chaotic, with many cases in between. Perhaps the most interesting rules are those that yield multiple behavior types from different initial conditions – this is common even for one-dimensional rules started from finitely-supported seeds. If a rule yields chaos from some […]