Mining stochastic cellular automata to solve density classification task in two dimensions

Density Classification Task (DCT) is a well-known problem that researchers have been tackling for more than two decades, where the main goal is to build a cellular automaton whose local rule gives rise to emergent global coordination. We describe the methods used to identify new cellular automata th...

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Bibliographic Details

Published in:	Dyna
Main Authors:	Nestor Diaz, Irene Tischer
Format:	Article
Language:	English
Published:	Universidad Nacional de Colombia 2020-11-01
Subjects:	Automated Model Design Computational Framework Machine Learning Genetic Algorithm Friedman test Nemenyi’s posthoc test.
Online Access:	https://revistas.unal.edu.co/index.php/dyna/article/view/83200