Cellular Automata on Graphs: Topological Properties of ER Graphs Evolved towards Low-Entropy Dynamics

Cellular automata (CA) are a remarkably  efficient tool for exploring general properties of complex systems and spatiotemporal patterns arising from local rules. Totalistic cellular automata,  where the update  rules depend  only on the density of neighboring states, are at the same time a versatile...

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Main Authors: Marc-Thorsten Hütt, Carsten Marr
Format: Article
Language:English
Published: MDPI AG 2012-06-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/14/6/993
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author Marc-Thorsten Hütt
Carsten Marr
author_facet Marc-Thorsten Hütt
Carsten Marr
author_sort Marc-Thorsten Hütt
collection DOAJ
description Cellular automata (CA) are a remarkably  efficient tool for exploring general properties of complex systems and spatiotemporal patterns arising from local rules. Totalistic cellular automata,  where the update  rules depend  only on the density of neighboring states, are at the same time a versatile  tool for exploring  dynamical  processes on graphs. Here we briefly review our previous results on cellular automata on graphs, emphasizing some systematic relationships between network architecture and dynamics identified in this way. We then extend the investigation  towards graphs obtained in a simulated-evolution procedure, starting from Erdő s–Rényi (ER) graphs and selecting for low entropies of the CA dynamics. Our key result is a strong association of low Shannon entropies with a broadening of the graph’s degree distribution.
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spelling doaj.art-01ef68e4c2894ed08303676deb3116c62022-12-22T04:20:09ZengMDPI AGEntropy1099-43002012-06-01146993101010.3390/e14060993Cellular Automata on Graphs: Topological Properties of ER Graphs Evolved towards Low-Entropy DynamicsMarc-Thorsten HüttCarsten MarrCellular automata (CA) are a remarkably  efficient tool for exploring general properties of complex systems and spatiotemporal patterns arising from local rules. Totalistic cellular automata,  where the update  rules depend  only on the density of neighboring states, are at the same time a versatile  tool for exploring  dynamical  processes on graphs. Here we briefly review our previous results on cellular automata on graphs, emphasizing some systematic relationships between network architecture and dynamics identified in this way. We then extend the investigation  towards graphs obtained in a simulated-evolution procedure, starting from Erdő s–Rényi (ER) graphs and selecting for low entropies of the CA dynamics. Our key result is a strong association of low Shannon entropies with a broadening of the graph’s degree distribution.http://www.mdpi.com/1099-4300/14/6/993network dynamicssimulated evolutioncellular automata on graphsdynamic probes
spellingShingle Marc-Thorsten Hütt
Carsten Marr
Cellular Automata on Graphs: Topological Properties of ER Graphs Evolved towards Low-Entropy Dynamics
Entropy
network dynamics
simulated evolution
cellular automata on graphs
dynamic probes
title Cellular Automata on Graphs: Topological Properties of ER Graphs Evolved towards Low-Entropy Dynamics
title_full Cellular Automata on Graphs: Topological Properties of ER Graphs Evolved towards Low-Entropy Dynamics
title_fullStr Cellular Automata on Graphs: Topological Properties of ER Graphs Evolved towards Low-Entropy Dynamics
title_full_unstemmed Cellular Automata on Graphs: Topological Properties of ER Graphs Evolved towards Low-Entropy Dynamics
title_short Cellular Automata on Graphs: Topological Properties of ER Graphs Evolved towards Low-Entropy Dynamics
title_sort cellular automata on graphs topological properties of er graphs evolved towards low entropy dynamics
topic network dynamics
simulated evolution
cellular automata on graphs
dynamic probes
url http://www.mdpi.com/1099-4300/14/6/993
work_keys_str_mv AT marcthorstenhutt cellularautomataongraphstopologicalpropertiesofergraphsevolvedtowardslowentropydynamics
AT carstenmarr cellularautomataongraphstopologicalpropertiesofergraphsevolvedtowardslowentropydynamics