An Architecture forRepresenting Biological Processes based on Networks of Bio-inspired Processors

Gómez Canaval, Sandra María and Arroyo Montoro, Fernando and Sánchez Couso, José Ramón (2013). An Architecture forRepresenting Biological Processes based on Networks of Bio-inspired Processors. "International Journal of Information Theories and Applications", v. 20 (n. 3); pp. 218-224. ISSN 1310-0513.

Description

Title: An Architecture forRepresenting Biological Processes based on Networks of Bio-inspired Processors
Author/s:
  • Gómez Canaval, Sandra María
  • Arroyo Montoro, Fernando
  • Sánchez Couso, José Ramón
Item Type: Article
Título de Revista/Publicación: International Journal of Information Theories and Applications
Date: 2013
ISSN: 1310-0513
Volume: 20
Subjects:
Freetext Keywords: Networks of biologically-inspired processors, Bioinspired Architectures, Computational Models,Natural Computing.
Faculty: E.U. de Informática (UPM)
Department: Lenguajes, Proyectos y Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

n this paper we propose the use of Networks of Bio-inspired Processors (NBP) to model some biological phenomena within a computational framework. In particular, we propose the use of an extension of NBP named Network Evolutionary Processors Transducers to simulate chemical transformations of substances. Within a biological process, chemical transformations of substances are basic operations in the change of the state of the cell. Previously, it has been proved that NBP are computationally complete, that is, they are able to solve NP complete problems in linear time, using massively parallel computations. In addition, we propose a multilayer architecture that will allow us to design models of biological processes related to cellular communication as well as their implications in the metabolic pathways. Subsequently, these models can be applied not only to biological-cellular instances but, possibly, also to configure instances of interactive processes in many other fields like population interactions, ecological trophic networks, in dustrial ecosystems, etc.

More information

Item ID: 29094
DC Identifier: http://oa.upm.es/29094/
OAI Identifier: oai:oa.upm.es:29094
Official URL: http://www.foibg.com/ijita/ijita-finfo.htm
Deposited by: Memoria Investigacion
Deposited on: 26 Jun 2014 12:49
Last Modified: 22 Sep 2014 11:44
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