Faculty of Information Technology, BUT

Publication Details

Evolution of Cellular Automata Development Using Various Representations

BIDLO Michal. Evolution of Cellular Automata Development Using Various Representations. In: GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion. Praha: Association for Computing Machinery, 2019, pp. 107-108. ISBN 978-1-4503-6748-6. Available from: https://dl.acm.org/citation.cfm?id=3321881
Czech title
Evoluce vývinu celulárních automatů využívající různé reprezentace
Type
conference paper
Language
english
Authors
Bidlo Michal, Ing., Ph.D. (DCSY FIT BUT)
URL
Keywords
cellular automaton; transition function; development; evolutionary algorithm
Abstract
This paper introduces a comparative summary regarding evolution of multistate cellular automata by means of various representations of transition functions. In particular, a conventional table-based representation and an advanced approach using Conditionally Matching Rules is applied. The French flag development from a seed is considered as a case study task. The results show some remarkable differences in the cellular automata behaviour which is evidently caused by the representation used. This includes the issue of emergence of the pattern from chaotic state or rather its systematic construction, stability of the pattern and limitation of its successful development to fixed-size automata only. The comparison of these results is enabled by using a custom variant of genetic algorithm that provides working solutions of this task using both representations of the transition function.

Published
2019
Pages
107-108
Proceedings
GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion
Conference
Genetic and Evolutionary Computations Conference 2019, Praha, CZ
ISBN
978-1-4503-6748-6
Publisher
Association for Computing Machinery
Place
Praha, CZ
DOI
BibTeX
@INPROCEEDINGS{FITPUB11902,
   author = "Michal Bidlo",
   title = "Evolution of Cellular Automata Development Using Various Representations",
   pages = "107--108",
   booktitle = "GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion",
   year = 2019,
   location = "Praha, CZ",
   publisher = "Association for Computing Machinery",
   ISBN = "978-1-4503-6748-6",
   doi = "10.1145/3319619.3321881",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11902"
}
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