From network-to-antibody robustness in a bio-inspired immune system
- Autores
- Fernandez Leon, Jose Alberto; Acosta, Gerardo Gabriel; Mayosky, Miguel Angel
- Año de publicación
- 2011
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Behavioural robustness at antibody and immune network level is discussed. The robustness of the immune response that drives an autonomous mobile robot is examined with two computational experiments in the autonomous mobile robots trajectory generation context in unknown environments. The immune response is met based on the immune network metaphor for different low-level behaviours coordination. These behaviours are activated when a robot sense the appropriate conditions in the environment in relation to the network current state. Results are obtained over a case study in computer simulation as well as in laboratory experiments with a Khepera II microrobot. In this work, we develop a set of tests where such an immune response is externally perturbed at network or low-level behavioural modules to analyse the robust capacity of the system to unexpected perturbations. Emergence of robust behaviour and high-level immune response relates to the coupling between behavioural modules that are selectively engaged with the environment based on immune response. Experimental evidence leads discussions on a dynamical systems perspective of behavioural robustness in artificial immune systems that goes beyond the isolated immune network response. .
Fil: Fernandez Leon, Jose Alberto. University of Sussex; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Acosta, Gerardo Gabriel. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ingeniería Olavarría. Departamento de Electromecánica. Grupo INTELYMEC; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Mayosky, Miguel Angel. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina - Materia
-
AUTONOMOUS MOBILE ROBOT CONTROL
BEHAVIOUR-BASED ROBOTICS
BIO-INSPIRED IMMUNE-BASED SYSTEMS
COMPLEX ADAPTIVE SYSTEMS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/95713
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From network-to-antibody robustness in a bio-inspired immune systemFernandez Leon, Jose AlbertoAcosta, Gerardo GabrielMayosky, Miguel AngelAUTONOMOUS MOBILE ROBOT CONTROLBEHAVIOUR-BASED ROBOTICSBIO-INSPIRED IMMUNE-BASED SYSTEMSCOMPLEX ADAPTIVE SYSTEMShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Behavioural robustness at antibody and immune network level is discussed. The robustness of the immune response that drives an autonomous mobile robot is examined with two computational experiments in the autonomous mobile robots trajectory generation context in unknown environments. The immune response is met based on the immune network metaphor for different low-level behaviours coordination. These behaviours are activated when a robot sense the appropriate conditions in the environment in relation to the network current state. Results are obtained over a case study in computer simulation as well as in laboratory experiments with a Khepera II microrobot. In this work, we develop a set of tests where such an immune response is externally perturbed at network or low-level behavioural modules to analyse the robust capacity of the system to unexpected perturbations. Emergence of robust behaviour and high-level immune response relates to the coupling between behavioural modules that are selectively engaged with the environment based on immune response. Experimental evidence leads discussions on a dynamical systems perspective of behavioural robustness in artificial immune systems that goes beyond the isolated immune network response. .Fil: Fernandez Leon, Jose Alberto. University of Sussex; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Acosta, Gerardo Gabriel. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ingeniería Olavarría. Departamento de Electromecánica. Grupo INTELYMEC; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Mayosky, Miguel Angel. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; ArgentinaElsevier2011-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/95713Fernandez Leon, Jose Alberto; Acosta, Gerardo Gabriel; Mayosky, Miguel Angel; From network-to-antibody robustness in a bio-inspired immune system; Elsevier; Biosystems; 104; 2-3; 5-2011; 109-1170303-2647CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0303264711000281info:eu-repo/semantics/altIdentifier/doi/10.1016/j.biosystems.2011.01.007info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:37:48Zoai:ri.conicet.gov.ar:11336/95713instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:37:48.983CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
From network-to-antibody robustness in a bio-inspired immune system |
title |
From network-to-antibody robustness in a bio-inspired immune system |
spellingShingle |
From network-to-antibody robustness in a bio-inspired immune system Fernandez Leon, Jose Alberto AUTONOMOUS MOBILE ROBOT CONTROL BEHAVIOUR-BASED ROBOTICS BIO-INSPIRED IMMUNE-BASED SYSTEMS COMPLEX ADAPTIVE SYSTEMS |
title_short |
From network-to-antibody robustness in a bio-inspired immune system |
title_full |
From network-to-antibody robustness in a bio-inspired immune system |
title_fullStr |
From network-to-antibody robustness in a bio-inspired immune system |
title_full_unstemmed |
From network-to-antibody robustness in a bio-inspired immune system |
title_sort |
From network-to-antibody robustness in a bio-inspired immune system |
dc.creator.none.fl_str_mv |
Fernandez Leon, Jose Alberto Acosta, Gerardo Gabriel Mayosky, Miguel Angel |
author |
Fernandez Leon, Jose Alberto |
author_facet |
Fernandez Leon, Jose Alberto Acosta, Gerardo Gabriel Mayosky, Miguel Angel |
author_role |
author |
author2 |
Acosta, Gerardo Gabriel Mayosky, Miguel Angel |
author2_role |
author author |
dc.subject.none.fl_str_mv |
AUTONOMOUS MOBILE ROBOT CONTROL BEHAVIOUR-BASED ROBOTICS BIO-INSPIRED IMMUNE-BASED SYSTEMS COMPLEX ADAPTIVE SYSTEMS |
topic |
AUTONOMOUS MOBILE ROBOT CONTROL BEHAVIOUR-BASED ROBOTICS BIO-INSPIRED IMMUNE-BASED SYSTEMS COMPLEX ADAPTIVE SYSTEMS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
Behavioural robustness at antibody and immune network level is discussed. The robustness of the immune response that drives an autonomous mobile robot is examined with two computational experiments in the autonomous mobile robots trajectory generation context in unknown environments. The immune response is met based on the immune network metaphor for different low-level behaviours coordination. These behaviours are activated when a robot sense the appropriate conditions in the environment in relation to the network current state. Results are obtained over a case study in computer simulation as well as in laboratory experiments with a Khepera II microrobot. In this work, we develop a set of tests where such an immune response is externally perturbed at network or low-level behavioural modules to analyse the robust capacity of the system to unexpected perturbations. Emergence of robust behaviour and high-level immune response relates to the coupling between behavioural modules that are selectively engaged with the environment based on immune response. Experimental evidence leads discussions on a dynamical systems perspective of behavioural robustness in artificial immune systems that goes beyond the isolated immune network response. . Fil: Fernandez Leon, Jose Alberto. University of Sussex; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Acosta, Gerardo Gabriel. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ingeniería Olavarría. Departamento de Electromecánica. Grupo INTELYMEC; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Mayosky, Miguel Angel. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina |
description |
Behavioural robustness at antibody and immune network level is discussed. The robustness of the immune response that drives an autonomous mobile robot is examined with two computational experiments in the autonomous mobile robots trajectory generation context in unknown environments. The immune response is met based on the immune network metaphor for different low-level behaviours coordination. These behaviours are activated when a robot sense the appropriate conditions in the environment in relation to the network current state. Results are obtained over a case study in computer simulation as well as in laboratory experiments with a Khepera II microrobot. In this work, we develop a set of tests where such an immune response is externally perturbed at network or low-level behavioural modules to analyse the robust capacity of the system to unexpected perturbations. Emergence of robust behaviour and high-level immune response relates to the coupling between behavioural modules that are selectively engaged with the environment based on immune response. Experimental evidence leads discussions on a dynamical systems perspective of behavioural robustness in artificial immune systems that goes beyond the isolated immune network response. . |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-05 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/95713 Fernandez Leon, Jose Alberto; Acosta, Gerardo Gabriel; Mayosky, Miguel Angel; From network-to-antibody robustness in a bio-inspired immune system; Elsevier; Biosystems; 104; 2-3; 5-2011; 109-117 0303-2647 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/95713 |
identifier_str_mv |
Fernandez Leon, Jose Alberto; Acosta, Gerardo Gabriel; Mayosky, Miguel Angel; From network-to-antibody robustness in a bio-inspired immune system; Elsevier; Biosystems; 104; 2-3; 5-2011; 109-117 0303-2647 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0303264711000281 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.biosystems.2011.01.007 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844614399073976320 |
score |
13.070432 |