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A statistical approach to the identification of diploid cellular automata based on incomplete observations

(2019) BIOSYSTEMS. 186.
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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:

MLA
Bołt, Witold, et al. “A Statistical Approach to the Identification of Diploid Cellular Automata Based on Incomplete Observations.” BIOSYSTEMS, vol. 186, 2019.
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.
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.
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.
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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