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The Ethereal
An evolutionary approach to the identification of Cellular Automata based on partial observations
August 24, 2015 ยท Declared Dead ยท ๐ IEEE Congress on Evolutionary Computation
"No code URL or promise found in abstract"
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Authors
Witold Boลt, Jan M. Baetens, Bernard De Baets
arXiv ID
1508.05752
Category
cs.NE: Neural & Evolutionary
Cross-listed
nlin.CG
Citations
4
Venue
IEEE Congress on Evolutionary Computation
Last Checked
4 months ago
Abstract
In this paper we consider the identification problem of Cellular Automata (CAs). The problem is defined and solved in the context of partial observations with time gaps of unknown length, i.e. pre-recorded, partial configurations of the system at certain, unknown time steps. A solution method based on a modified variant of a Genetic Algorithm (GA) is proposed and illustrated with brief experimental results.
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