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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/95713
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/95713
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 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 Técnicas2025-10-22T12:09:56Zoai: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:34982025-10-22 12:09:57.136CONICET 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
_version_ 1846782481374642176
score 12.982451

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