Titulo:
On modeling approaches for the predictive simulation of living systms dymamics
.
Sumario:
ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This research paper describes two main approaches that are currently available for modelling and simulating the evolution of dynamic living systems, namely the continuous-deterministic one, which is rendered by systems of ordinary differential equations and the discrete-stochastic one, which bases on the Stochastic simulation algorithm proposed by Gil/espíe in 1976. The aim of this comparison is to provide the necessary information to support the selection of a modelling approach, focusing on a set of verifiable criteria. For this reason, we review the rationale approach of modelling, proposing a modelling sample  for a single living system and discussin... Ver más
Guardado en:
2382-3399
2745-2220
1
2015-10-30
101
124
Revista Ontare - 2016
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On modeling approaches for the predictive simulation of living systms dymamics Modelling approaches for the predictive simulation of dynamic living systems ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This research paper describes two main approaches that are currently available for modelling and simulating the evolution of dynamic living systems, namely the continuous-deterministic one, which is rendered by systems of ordinary differential equations and the discrete-stochastic one, which bases on the Stochastic simulation algorithm proposed by Gil/espíe in 1976. The aim of this comparison is to provide the necessary information to support the selection of a modelling approach, focusing on a set of verifiable criteria. For this reason, we review the rationale approach of modelling, proposing a modelling sample  for a single living system and discussing the main advantages and drawbacks of each approach.   ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA Este artículo se propone presentar dos de los principales enfoques que están disponibles hoy en día para modelar y simular la evolución dinámica de sistemas vivos: el modelo determinístico continuo, que es dictado por los sistemas de ecuaciones diferenciales ordinarias, y el estocástico discreto, que encuentra su base en el algoritmo de simulación estocástica propuesto por Gillespie en 1976. El objetivo de esta comparación es proporcionar la información necesaria para apoyar la selección de un enfoque de modelaje, basado en un conjunto de criterios verificables. Para alcanzar este objetivo, se analizan los fundamentos de la modelación, se propone un ejemplo de modelado para un sistema de vida simple y se discuten las principales ventajas y desventajas de cada enfoque. This research paper describes two main approaches that are currently available for modelling and simulating the evolution of dynamic living systems, namely the continuous-deterministic one, which is rendered by systems of ordinary differential equations and the discrete-stochastic one, which bases on the Stochastic simulation algorithm proposed by Gil/espíe in 1976. The aim of this comparison is to provide the necessary information to support the selection of a modelling approach, focusing on a set of verifiable criteria. For this reason, we review the rationale approach of modelling, proposing a modelling sample  for a single living system and discussing the main advantages and drawbacks of each approach. Mura, Ivan Sistemas Biológicos Biological systems 1 2 Núm. 2 , Año 2013 : Aplicaciones en investigación desarrollo e innovación Artículo de revista Journal article 2015-10-30T00:00:00Z 2015-10-30T00:00:00Z 2015-10-30 application/pdf Universidad Ean Revista Ontare 2382-3399 2745-2220 https://journal.universidadean.edu.co/index.php/Revistao/article/view/1225 10.21158/23823399.v1.n2.2013.1225 https://doi.org/10.21158/23823399.v1.n2.2013.1225 spa https://creativecommons.org/licenses/by-nc-sa/4.0/ Revista Ontare - 2016 101 124 https://journal.universidadean.edu.co/index.php/Revistao/article/download/1225/1190 info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 http://purl.org/redcol/resource_type/ARTREF info:eu-repo/semantics/publishedVersion http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 Text Publication |
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UNIVERSIDAD EAN |
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Colombia |
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Revista Ontare |
| title |
On modeling approaches for the predictive simulation of living systms dymamics |
| spellingShingle |
On modeling approaches for the predictive simulation of living systms dymamics Mura, Ivan Sistemas Biológicos Biological systems |
| title_short |
On modeling approaches for the predictive simulation of living systms dymamics |
| title_full |
On modeling approaches for the predictive simulation of living systms dymamics |
| title_fullStr |
On modeling approaches for the predictive simulation of living systms dymamics |
| title_full_unstemmed |
On modeling approaches for the predictive simulation of living systms dymamics |
| title_sort |
on modeling approaches for the predictive simulation of living systms dymamics |
| title_eng |
Modelling approaches for the predictive simulation of dynamic living systems |
| description |
ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA
This research paper describes two main approaches that are currently available for modelling and simulating the evolution of dynamic living systems, namely the continuous-deterministic one, which is rendered by systems of ordinary differential equations and the discrete-stochastic one, which bases on the Stochastic simulation algorithm proposed by Gil/espíe in 1976. The aim of this comparison is to provide the necessary information to support the selection of a modelling approach, focusing on a set of verifiable criteria. For this reason, we review the rationale approach of modelling, proposing a modelling sample  for a single living system and discussing the main advantages and drawbacks of each approach.
 
|
| description_eng |
ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA
Este artículo se propone presentar dos de los principales enfoques que están disponibles hoy en día para modelar y simular la evolución dinámica de sistemas vivos: el modelo determinístico continuo, que es dictado por los sistemas de ecuaciones diferenciales ordinarias, y el estocástico discreto, que encuentra su base en el algoritmo de simulación estocástica propuesto por Gillespie en 1976. El objetivo de esta comparación es proporcionar la información necesaria para apoyar la selección de un enfoque de modelaje, basado en un conjunto de criterios verificables. Para alcanzar este objetivo, se analizan los fundamentos de la modelación, se propone un ejemplo de modelado para un sistema de vida simple y se discuten las principales ventajas y desventajas de cada enfoque.
This research paper describes two main approaches that are currently available for modelling and simulating the evolution of dynamic living systems, namely the continuous-deterministic one, which is rendered by systems of ordinary differential equations and the discrete-stochastic one, which bases on the Stochastic simulation algorithm proposed by Gil/espíe in 1976. The aim of this comparison is to provide the necessary information to support the selection of a modelling approach, focusing on a set of verifiable criteria. For this reason, we review the rationale approach of modelling, proposing a modelling sample  for a single living system and discussing the main advantages and drawbacks of each approach.
|
| author |
Mura, Ivan |
| author_facet |
Mura, Ivan |
| topic |
Sistemas Biológicos Biological systems |
| topic_facet |
Sistemas Biológicos Biological systems |
| topicspa_str_mv |
Biological systems |
| citationvolume |
1 |
| citationissue |
2 |
| citationedition |
Núm. 2 , Año 2013 : Aplicaciones en investigación desarrollo e innovación |
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Universidad Ean |
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Revista Ontare |
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https://journal.universidadean.edu.co/index.php/Revistao/article/view/1225 |
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spa |
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Article |
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https://creativecommons.org/licenses/by-nc-sa/4.0/ Revista Ontare - 2016 info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
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info:eu-repo/semantics/article |
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http://purl.org/coar/resource_type/c_6501 |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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Text |
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2015-10-30 |
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2015-10-30T00:00:00Z |
| date_available |
2015-10-30T00:00:00Z |
| url |
https://journal.universidadean.edu.co/index.php/Revistao/article/view/1225 |
| url_doi |
https://doi.org/10.21158/23823399.v1.n2.2013.1225 |
| issn |
2382-3399 |
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2745-2220 |
| doi |
10.21158/23823399.v1.n2.2013.1225 |
| citationstartpage |
101 |
| citationendpage |
124 |
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https://journal.universidadean.edu.co/index.php/Revistao/article/download/1225/1190 |
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