Page 115 - Fister jr., Iztok, Andrej Brodnik, Matjaž Krnc and Iztok Fister (eds.). StuCoSReC. Proceedings of the 2019 6th Student Computer Science Research Conference. Koper: University of Primorska Press, 2019
P. 115
Investigating patterns using cellular automata
László Tóth
University of Szeged
13 Dugonics square
Szeged, Hungary
tothl@jgypk.u-szeged.hu
ABSTRACT
Complex systems based on a simple rule generates random, chaotic patterns. Examples of such models include cellular
automata (CA). Over fifty years of CA research have been applied and analyzed in several CA fields, but their network
topology study is still not significant.
How a cell can influence its environment is very important in CA models. The chaotic behaviors cause, that the information
carried by the system can be of great importance for a pattern that will be passed down through generations.
During our research it was implemented a framework that can determine a communication network formed by Langton’s CAs
cells. This allows us to analyze factors that can influence the spread of information carried by cells. It is possible to simulate
and analyze dynamically changing patterns with the proper parameterization of the developed system. These patterns created
by cell cultures are grown in neurobiological labs.
Keywords
cellular automata, information spreading, cellular communication
Acknowledgments
The author was supported by the EU-funded Hungarian grant EFOP-3.6.2-16-2017-00015.
StuCoSReC Proceedings of the 2019 6th Student Computer Science Research Conference DOI: https://doi.org/10.26493/978-961-7055-82-5.115 115
Koper, Slovenia, 10 October
László Tóth
University of Szeged
13 Dugonics square
Szeged, Hungary
tothl@jgypk.u-szeged.hu
ABSTRACT
Complex systems based on a simple rule generates random, chaotic patterns. Examples of such models include cellular
automata (CA). Over fifty years of CA research have been applied and analyzed in several CA fields, but their network
topology study is still not significant.
How a cell can influence its environment is very important in CA models. The chaotic behaviors cause, that the information
carried by the system can be of great importance for a pattern that will be passed down through generations.
During our research it was implemented a framework that can determine a communication network formed by Langton’s CAs
cells. This allows us to analyze factors that can influence the spread of information carried by cells. It is possible to simulate
and analyze dynamically changing patterns with the proper parameterization of the developed system. These patterns created
by cell cultures are grown in neurobiological labs.
Keywords
cellular automata, information spreading, cellular communication
Acknowledgments
The author was supported by the EU-funded Hungarian grant EFOP-3.6.2-16-2017-00015.
StuCoSReC Proceedings of the 2019 6th Student Computer Science Research Conference DOI: https://doi.org/10.26493/978-961-7055-82-5.115 115
Koper, Slovenia, 10 October
