A statistical approach to the identification of diploid cellular automata based on incomplete observations
- Author
- Witold Bołt, Aleksander Bołt, Barbara Wolnik, Jan Baetens (UGent) and Bernard De Baets (UGent)
- Organization
- Abstract
- In this paper, the identification problem of diploid cellular automata is considered, in which, based on a series of incomplete observations, the underlying cellular automaton rules and the states of missing cell states are to be uncovered. An algorithm for identifying the rule, based on a statistical parameter estimation method using a normal distribution approximation, is presented. In addition, an algorithm for filling the missing cell states is formulated. The accuracy of these methods is examined in a series of computational experiments.
- Keywords
- Stochastic cellular automata, Diploid cellular automata, Parameter estimation, System identification, RULES
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8637808
- MLA
- Bołt, Witold, et al. “A Statistical Approach to the Identification of Diploid Cellular Automata Based on Incomplete Observations.” BIOSYSTEMS, vol. 186, 2019, doi:10.1016/j.biosystems.2019.103976.
- APA
- Bołt, W., Bołt, A., Wolnik, B., Baetens, J., & De Baets, B. (2019). A statistical approach to the identification of diploid cellular automata based on incomplete observations. BIOSYSTEMS, 186. https://doi.org/10.1016/j.biosystems.2019.103976
- Chicago author-date
- Bołt, Witold, Aleksander Bołt, Barbara Wolnik, Jan Baetens, and Bernard De Baets. 2019. “A Statistical Approach to the Identification of Diploid Cellular Automata Based on Incomplete Observations.” BIOSYSTEMS 186. https://doi.org/10.1016/j.biosystems.2019.103976.
- Chicago author-date (all authors)
- Bołt, Witold, Aleksander Bołt, Barbara Wolnik, Jan Baetens, and Bernard De Baets. 2019. “A Statistical Approach to the Identification of Diploid Cellular Automata Based on Incomplete Observations.” BIOSYSTEMS 186. doi:10.1016/j.biosystems.2019.103976.
- Vancouver
- 1.Bołt W, Bołt A, Wolnik B, Baetens J, De Baets B. A statistical approach to the identification of diploid cellular automata based on incomplete observations. BIOSYSTEMS. 2019;186.
- IEEE
- [1]W. Bołt, A. Bołt, B. Wolnik, J. Baetens, and B. De Baets, “A statistical approach to the identification of diploid cellular automata based on incomplete observations,” BIOSYSTEMS, vol. 186, 2019.
@article{8637808,
abstract = {{In this paper, the identification problem of diploid cellular automata is considered, in which, based on a series of incomplete observations, the underlying cellular automaton rules and the states of missing cell states are to be uncovered. An algorithm for identifying the rule, based on a statistical parameter estimation method using a normal distribution approximation, is presented. In addition, an algorithm for filling the missing cell states is formulated. The accuracy of these methods is examined in a series of computational experiments.}},
articleno = {{103976}},
author = {{Bołt, Witold and Bołt, Aleksander and Wolnik, Barbara and Baetens, Jan and De Baets, Bernard}},
issn = {{0303-2647}},
journal = {{BIOSYSTEMS}},
keywords = {{Stochastic cellular automata,Diploid cellular automata,Parameter estimation,System identification,RULES}},
language = {{eng}},
pages = {{12}},
title = {{A statistical approach to the identification of diploid cellular automata based on incomplete observations}},
url = {{http://dx.doi.org/10.1016/j.biosystems.2019.103976}},
volume = {{186}},
year = {{2019}},
}
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