A Statistical Approach to the Identification of Diploid Cellular Automata

Witold Bołt,Bernard De Baets,Jan M Baetens,Aleksander Bołt,Barbara Wolnik

doi:10.1007/978-3-319-71069-3_3

A Statistical Approach to the Identification of Diploid Cellular Automata

Witold Bołt, Bernard De Baets + Show 3 more

https://doi.org/10.1007/978-3-319-71069-3_3

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Publication Date: Jan 1, 2017

Affiliation: Ghent University, Systems Research Institute, Polish Academy of Sciences, University of Gdańsk, Institute of Mathematics

#Normal Distribution Approximation #Statistical Estimation Method + Show 8 more

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Abstract

In this paper, the identification problem of diploid Cellular Automata is considered, in which, based on a series of observations, the underlying cellular automaton rules are to be uncovered. A solution algorithm based on a statistical parameter estimation method using a normal distribution approximation is proposed. The accuracy of this method is verified in a series of computational experiments.

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