Self-generated dynamic landscape: The message-receiver interaction case

Autores
Fuentes, Miguel Angel; Miguel, Hernán
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In the present work we present a model, based on a particular differential stochastic equation, to study the interaction between an incoming message and its interpreter. The particular stochastic dynamic used to understand such process is written using a delayed Langevin equation with white noise. The results of this kind of interaction can be understood in a general framework that we name the self generated dynamic landscape.
Fil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina
Fil: Miguel, Hernán. Universidad de Buenos Aires; Argentina. Instituto de Investigaciones Filosóficas - Sadaf; Argentina
Materia
CATEGORIZATION
CONCEPTUAL NETWORK
DYNAMIC LANDSCAPE
INTERPRETATION
LEARNING
STOCHASTIC
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:11336/100493
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/100493
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Self-generated dynamic landscape: The message-receiver interaction caseFuentes, Miguel AngelMiguel, HernánCATEGORIZATIONCONCEPTUAL NETWORKDYNAMIC LANDSCAPEINTERPRETATIONLEARNINGSTOCHASTIChttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1In the present work we present a model, based on a particular differential stochastic equation, to study the interaction between an incoming message and its interpreter. The particular stochastic dynamic used to understand such process is written using a delayed Langevin equation with white noise. The results of this kind of interaction can be understood in a general framework that we name the self generated dynamic landscape.Fil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; ArgentinaFil: Miguel, Hernán. Universidad de Buenos Aires; Argentina. Instituto de Investigaciones Filosóficas - Sadaf; ArgentinaElsevier Science2013-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/100493Fuentes, Miguel Angel; Miguel, Hernán; Self-generated dynamic landscape: The message-receiver interaction case; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 392; 10; 5-2013; 2492-24970378-4371CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0378437113001131info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2013.01.060info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T10:24:04Zoai:ri.conicet.gov.ar:11336/100493instacron: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:34982025-11-05 10:24:05.157CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Self-generated dynamic landscape: The message-receiver interaction case
title Self-generated dynamic landscape: The message-receiver interaction case
spellingShingle Self-generated dynamic landscape: The message-receiver interaction case
Fuentes, Miguel Angel
CATEGORIZATION
CONCEPTUAL NETWORK
DYNAMIC LANDSCAPE
INTERPRETATION
LEARNING
STOCHASTIC
title_short Self-generated dynamic landscape: The message-receiver interaction case
title_full Self-generated dynamic landscape: The message-receiver interaction case
title_fullStr Self-generated dynamic landscape: The message-receiver interaction case
title_full_unstemmed Self-generated dynamic landscape: The message-receiver interaction case
title_sort Self-generated dynamic landscape: The message-receiver interaction case
dc.creator.none.fl_str_mv Fuentes, Miguel Angel
Miguel, Hernán
author Fuentes, Miguel Angel
author_facet Fuentes, Miguel Angel
Miguel, Hernán
author_role author
author2 Miguel, Hernán
author2_role author
dc.subject.none.fl_str_mv CATEGORIZATION
CONCEPTUAL NETWORK
DYNAMIC LANDSCAPE
INTERPRETATION
LEARNING
STOCHASTIC
topic CATEGORIZATION
CONCEPTUAL NETWORK
DYNAMIC LANDSCAPE
INTERPRETATION
LEARNING
STOCHASTIC
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In the present work we present a model, based on a particular differential stochastic equation, to study the interaction between an incoming message and its interpreter. The particular stochastic dynamic used to understand such process is written using a delayed Langevin equation with white noise. The results of this kind of interaction can be understood in a general framework that we name the self generated dynamic landscape.
Fil: Fuentes, Miguel Angel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina
Fil: Miguel, Hernán. Universidad de Buenos Aires; Argentina. Instituto de Investigaciones Filosóficas - Sadaf; Argentina
description In the present work we present a model, based on a particular differential stochastic equation, to study the interaction between an incoming message and its interpreter. The particular stochastic dynamic used to understand such process is written using a delayed Langevin equation with white noise. The results of this kind of interaction can be understood in a general framework that we name the self generated dynamic landscape.
publishDate 2013
dc.date.none.fl_str_mv 2013-05
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/11336/100493
Fuentes, Miguel Angel; Miguel, Hernán; Self-generated dynamic landscape: The message-receiver interaction case; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 392; 10; 5-2013; 2492-2497
0378-4371
CONICET Digital
CONICET
url http://hdl.handle.net/11336/100493
identifier_str_mv Fuentes, Miguel Angel; Miguel, Hernán; Self-generated dynamic landscape: The message-receiver interaction case; Elsevier Science; Physica A: Statistical Mechanics and its Applications; 392; 10; 5-2013; 2492-2497
0378-4371
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0378437113001131
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.physa.2013.01.060
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
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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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score 13.087074

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