Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Digital organism"'
Autor:
Raúl Ortega, Miguel Angel Fortuna
Publikováno v:
PeerJ Computer Science, Vol 9, p e1568 (2023)
Digital evolution is a branch of artificial life in which self-replicating computer programs—digital organisms—mutate and evolve within a user-defined computational environment. In spite of its value in biology, we still lack an up-to-date and co
Externí odkaz:
https://doaj.org/article/4069382369ca4b4a80beec4fe7dcab38
Akademický článek
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Autor:
Joshua A. Mackie, Luke Appleton
Publikováno v:
The American Biology Teacher. 81:12-17
We review software for exploring biological evolution from a fun and educational perspective. Our goal is to provide a background explanation of the methods used, terminology, and user experience, and learning outcomes of desktop and mobile evolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed8b27fc26619a864dd84be986171a1e
https://doi.org/10.1525/abt.2019.81.1.12
https://doi.org/10.1525/abt.2019.81.1.12
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811331398
Intelligence is a fundamental characteristic of living beings. Even the simplest organisms exhibit intelligent behaviors in their routine actions. There are various levels of problems in computational science where evolutionary computation shows grea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42c83da4e6527cbc898abc95aef1df0d
https://doi.org/10.1007/978-981-13-3140-4_26
https://doi.org/10.1007/978-981-13-3140-4_26
Autor:
Alastair Hume, Tomasz Zielinski, Gordon Plotkin, Peter L. Freeman, Andrew J. Millar, Argyris Zardilis, Oxana Sorokina, Uriel Urquiza
Publikováno v:
Millar, A J, Urquiza Garcia, J, Freeman, P, Hume, A, Plotkin, G D, Sorokina, O, Zardilis, A & Zielinski, T 2019, ' Practical steps to digital organism models, from laboratory model species to ‘Crops in silico ’ ', Journal of Experimental Botany, vol. 70, no. 9, JEXBOT/2018/235879, pp. 2403–2418 . https://doi.org/10.1093/jxb/ery435
A recent initiative named 'Crops in silico' proposes that multi-scale models “have the potential to fill in missing mechanistic details and generate new hypotheses to prioritize directed engineering efforts” in plant science, particularly directe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba9efd91d1706988b49cd43c4b88e758
https://pubmed.ncbi.nlm.nih.gov/30615184
https://pubmed.ncbi.nlm.nih.gov/30615184
Autor:
E. A. Kol’chugina
Publikováno v:
Automatic Control and Computer Sciences. 49:216-220
This article considers a problem of securing the coexistence of predator and prey species under the conditions of the closed artificial world of digital organisms. A new scheme of relations is proposed between digital organism species, in which the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3422ec070b331a732e76e74c697c413
https://doi.org/10.3103/s0146411615040069
https://doi.org/10.3103/s0146411615040069
Autor:
Jianying Chen
Publikováno v:
IERI Procedia. 4:261-267
To satisfy more and more demands of today and future applications, a novel cloud computing system, which is named Digital Organism System (DOS), was developed successfully. With its own operating system and database management system, DOS provides di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::affded62c501045a069e874557db6e3f
Autor:
Yin Hoon, Chew, Bénédicte, Wenden, Anna, Flis, Virginie, Mengin, Jasper, Taylor, Christopher L, Davey, Christopher, Tindal, Howard, Thomas, Helen J, Ougham, Philippe, de Reffye, Mark, Stitt, Mathew, Williams, Robert, Muetzelfeldt, Karen J, Halliday, Andrew J, Millar
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2014, 111 (39), pp.E4127-E4136. ⟨10.1073/pnas.1410238111⟩
Chew, Y H, Wenden, B, Flis, A, Mengin, V, Taylor, J, Davey, C L, Tindal, C, Thomas, H, Ougham, H J, De Reffye, P, Stitt, M, Williams, M, Muetzelfeldt, R, Halliday, K J & Millar, A J 2014, ' Multiscale digital Arabidopsis predicts individual organ and whole-organism growth ', Proceedings of the National Academy of Sciences (PNAS), vol. 111, no. 39, pp. E4127-E4136 . https://doi.org/10.1073/pnas.1410238111
Proceedings of the National Academy of Sciences
Proceedings of the National Academy of Sciences of the United States of America, National Academy of Sciences, 2014, 111 (39), pp.E4127-E4136. ⟨10.1073/pnas.1410238111⟩
Chew, Y H, Wenden, B, Flis, A, Mengin, V, Taylor, J, Davey, C L, Tindal, C, Thomas, H, Ougham, H J, De Reffye, P, Stitt, M, Williams, M, Muetzelfeldt, R, Halliday, K J & Millar, A J 2014, ' Multiscale digital Arabidopsis predicts individual organ and whole-organism growth ', Proceedings of the National Academy of Sciences (PNAS), vol. 111, no. 39, pp. E4127-E4136 . https://doi.org/10.1073/pnas.1410238111
Proceedings of the National Academy of Sciences
International audience; Understanding how dynamic molecular networks affect whole-organism physiology, analogous to mapping genotype to phenotype, remains a key challenge in biology. Quantitative models that represent processes at multiple scales and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f1e011234ad0647e7f0f1c3c510e10f
https://hal.umontpellier.fr/hal-02063348
https://hal.umontpellier.fr/hal-02063348
Autor:
David B. Knoester, Philip K. McKinley, Betty H. C. Cheng, Heather J. Goldsby, Benjamin E. Beckmann, Charles Ofria
Publikováno v:
Computer. 41:54-63
In digital evolution, self-replicating computer programs-digital organisms-experience mutations and selective pressures, potentially producing computational systems that, like natural organisms, adapt to their environment and protect themselves from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e317acc7a8977d6c209c62afb376be61
https://doi.org/10.1109/mc.2008.17
https://doi.org/10.1109/mc.2008.17
Publikováno v:
Journal of theoretical biology. 399
We present a model of the evolution of protein complexes with novel functions through gene duplication, mutation, and co-option. Under a wide variety of input parameters, digital organisms evolve complexes of 2–5 bound proteins which have novel fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28a4c5ccbf84e824581ac93caf15775f
https://pubmed.ncbi.nlm.nih.gov/27038665
https://pubmed.ncbi.nlm.nih.gov/27038665