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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad Nacional de Colombia
2020-11-01
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| Series: | Dyna |
| Subjects: | |
| Online Access: | https://revistas.unal.edu.co/index.php/dyna/article/view/83200 |