Autómatas celulares: mejoras de control e inmunidad en la simulación de fenómenos propagativos
Two-dimensional cellular automata are a powerful tool for the simulation of complex discrete systems. They are useful in the treatment of propagative phenomena such as epidemics or fires. This paper proposes a series of theoretical, functional, and applicable improvements to the study published in 2...
- Autores:
-
Delvalle Arroyo, Pablo Emilio
Ramírez, Juan Manuel Serna
Serna Ramírez, Juan Manuel
Fory Aguirre, Carlos Andrés
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2015
- Institución:
- Universidad ICESI
- Repositorio:
- Repositorio ICESI
- Idioma:
- eng
spa
- OAI Identifier:
- oai:repository.icesi.edu.co:10906/81497
- Acceso en línea:
- http://hdl.handle.net/10906/81497
http://192.168.220.28/revistas/index.php/sistemas_telematica/article/view/2149
https://doi.org/10.18046/syt.v13i35.2149
- Palabra clave:
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-nd/4.0/
| Summary: | Two-dimensional cellular automata are a powerful tool for the simulation of complex discrete systems. They are useful in the treatment of propagative phenomena such as epidemics or fires. This paper proposes a series of theoretical, functional, and applicable improvements to the study published in 2009 by Hoya, Martin del Rio, and Rodríguez; it is specifically aimed at controlling the spread patterns in cellular automata with homogeneous resizable lattices, allowing the simulation of immune cell assemblies that act as barriers in the environments studied. As retardant agent, the Susceptible-Infected-Recovered [SIR] epidemiological model of influenza type A was used. The work was developed using MATLAB®, resulting in a collection of more realistic and versatile simulations that seems to fi, in a more accurate way, the observations made on known patterns of influenza. |
|---|