Department of Computer Systems

Conference paper

BIDLO Michal. Evolution of Complex Emergent Behaviour in Multi-State Cellular Automata. In: Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. New York: Association for Computing Machinery, 2016, pp. 157-158. ISBN 978-1-4503-4323-7. Available from: http://dl.acm.org/citation.cfm?id=2930947
Publication language:english
Original title:Evolution of Complex Emergent Behaviour in Multi-State Cellular Automata
Title (cs):Evoluce složitého emergentního chování ve vícestavových celulárních automatech
Pages:157-158
Proceedings:Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion
Conference:Genetic and Evolutionary Computation Conference 2016
Place:New York, US
Year:2016
URL:http://dl.acm.org/citation.cfm?id=2930947
ISBN:978-1-4503-4323-7
Publisher:Association for Computing Machinery
Keywords
cellular automaton; transition function; conditional rule; evolutionary algorithm
Annotation
The paper presents a special technique, called conditionally matching rules, for the representation of transition functions of cellular automata and its application to the evolutionary design of complex emergent behaviour. The square calculation in one-dimensional cellular automata and problem of designing replicating loops in two-dimensional cellular automata will be treated as case studies. It will be shown that the evolutionary algorithm in combination with the conditionally matching rules is able to successfully solve these tasks and provide some innovative results in comparison with the existing solutions.
BibTeX:
@INPROCEEDINGS{
   author = {Michal Bidlo},
   title = {Evolution of Complex Emergent Behaviour in Multi-State
	Cellular Automata},
   pages = {157--158},
   booktitle = {Proceedings of the 2016 on Genetic and Evolutionary
	Computation Conference Companion},
   year = {2016},
   location = {New York, US},
   publisher = {Association for Computing Machinery},
   ISBN = {978-1-4503-4323-7},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=11151}
}

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