A multiplicity of statistical models for modeling the degeneracy of living communicating holons
Communicating living systems detect and process a multiplicity of events with degeneracy, to continuously cope with environmental aleatoric incertitude. The concept of holon, communicating at various scales of living organizations, is hereafter formalized through dynamical systems driven by the mult...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2022-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2022/07/epjconf_complexity-disorder2021_01006.pdf |
| _version_ | 1811307749186732032 |
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| author | Pastor Dominique Beurier Erwan Thomas-Vaslin Véronique |
| author_facet | Pastor Dominique Beurier Erwan Thomas-Vaslin Véronique |
| author_sort | Pastor Dominique |
| collection | DOAJ |
| description | Communicating living systems detect and process a multiplicity of events with degeneracy, to continuously cope with environmental aleatoric incertitude. The concept of holon, communicating at various scales of living organizations, is hereafter formalized through dynamical systems driven by the multiplicity of statistical models. Then, the stimulus-response of elementary biological holons can be modeled by memoryless Boolean automata with different signal processing methods, in presence of noise and stochastic interference. Detection of a specified signal, to update the automaton state, can be performed via multiple families of update functions, with differentiated balances between sensitivity and specificity in presence of interference: (i) Neyman-Pearson update functions provide the best possible sensitivity to detect the signal of interest in absence of interference, but cannot guarantee a desired specificity; (ii) by detecting large amplitudes of any signal in noise, update functions based on Random Distortion Testing yield a suboptimal sensitivity to detect the signal in noise, but guarantee a wanted specificity even in presence of interference. Thus, statistical inference theories offer functional and structural redundancy and open prospects to model fractal-like holarchies, via networks of communicating degenerated automata, to feature properties of the immune system. |
| first_indexed | 2024-04-13T09:09:53Z |
| format | Article |
| id | doaj.art-61d902dfa1a64abcb6dfd270b4e76aad |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-04-13T09:09:53Z |
| publishDate | 2022-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-61d902dfa1a64abcb6dfd270b4e76aad2022-12-22T02:52:54ZengEDP SciencesEPJ Web of Conferences2100-014X2022-01-012630100610.1051/epjconf/202226301006epjconf_complexity-disorder2021_01006A multiplicity of statistical models for modeling the degeneracy of living communicating holonsPastor Dominique0Beurier Erwan1Thomas-Vaslin Véronique2IMT Atlantique, Lab-STICC, Université de Bretagne LoireIMT Atlantique, Lab-STICC, Université de Bretagne LoireSorbonne Université, INSERM, UMRS 959, Immunology-Immunopathology-Immunotherapy (i3)Communicating living systems detect and process a multiplicity of events with degeneracy, to continuously cope with environmental aleatoric incertitude. The concept of holon, communicating at various scales of living organizations, is hereafter formalized through dynamical systems driven by the multiplicity of statistical models. Then, the stimulus-response of elementary biological holons can be modeled by memoryless Boolean automata with different signal processing methods, in presence of noise and stochastic interference. Detection of a specified signal, to update the automaton state, can be performed via multiple families of update functions, with differentiated balances between sensitivity and specificity in presence of interference: (i) Neyman-Pearson update functions provide the best possible sensitivity to detect the signal of interest in absence of interference, but cannot guarantee a desired specificity; (ii) by detecting large amplitudes of any signal in noise, update functions based on Random Distortion Testing yield a suboptimal sensitivity to detect the signal in noise, but guarantee a wanted specificity even in presence of interference. Thus, statistical inference theories offer functional and structural redundancy and open prospects to model fractal-like holarchies, via networks of communicating degenerated automata, to feature properties of the immune system.https://www.epj-conferences.org/articles/epjconf/pdf/2022/07/epjconf_complexity-disorder2021_01006.pdf |
| spellingShingle | Pastor Dominique Beurier Erwan Thomas-Vaslin Véronique A multiplicity of statistical models for modeling the degeneracy of living communicating holons EPJ Web of Conferences |
| title | A multiplicity of statistical models for modeling the degeneracy of living communicating holons |
| title_full | A multiplicity of statistical models for modeling the degeneracy of living communicating holons |
| title_fullStr | A multiplicity of statistical models for modeling the degeneracy of living communicating holons |
| title_full_unstemmed | A multiplicity of statistical models for modeling the degeneracy of living communicating holons |
| title_short | A multiplicity of statistical models for modeling the degeneracy of living communicating holons |
| title_sort | multiplicity of statistical models for modeling the degeneracy of living communicating holons |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2022/07/epjconf_complexity-disorder2021_01006.pdf |
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