A neurobiologically inspired model of social cognition: Memes spreading in the Internet

Detalhes bibliográficos
Autor(a) principal: Da Rocha, Armando Freitas
Data de Publicação: 2015
Outros Autores: Massad, Eduardo, Dos Santos, Paulo Cesar C., Pereira, Alfredo [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.bica.2015.09.001
http://hdl.handle.net/11449/168127
Resumo: The field of memetics has attracted interdisciplinary attention as a biologically inspired approach to animal communication and sharing of human cultural patterns. Here a formalization of the theory of memes is proposed, making use of a formal language that is adequate to represent neural information processing. This formalization is the basis for our development of a model of social cognition including mathematical tools derived from the field of epidemiology. The model describes processes of communication between individuals of the same biological species, which share the same computational mechanisms of neural information processing. An example of the 'modus operandi' of the model is shown, consisting of a brief study of meme spreading in the Internet. Among the results of this study, we highlight: (1) The operationalization of memetics in a cognitive architecture that is based on biological constraints and possible to be implemented in digital computers; (2) the proposed model of meme spreading in an online social network may be of interest for public organisations, private corporations and people in general; and (3) the limitation of modeling should be considered when interpreting data about any dynamical phenomenon.
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spelling A neurobiologically inspired model of social cognition: Memes spreading in the InternetBiologically inspired architecturesFacebookFuzzy logicsInternetMemeticsThe field of memetics has attracted interdisciplinary attention as a biologically inspired approach to animal communication and sharing of human cultural patterns. Here a formalization of the theory of memes is proposed, making use of a formal language that is adequate to represent neural information processing. This formalization is the basis for our development of a model of social cognition including mathematical tools derived from the field of epidemiology. The model describes processes of communication between individuals of the same biological species, which share the same computational mechanisms of neural information processing. An example of the 'modus operandi' of the model is shown, consisting of a brief study of meme spreading in the Internet. Among the results of this study, we highlight: (1) The operationalization of memetics in a cognitive architecture that is based on biological constraints and possible to be implemented in digital computers; (2) the proposed model of meme spreading in an online social network may be of interest for public organisations, private corporations and people in general; and (3) the limitation of modeling should be considered when interpreting data about any dynamical phenomenon.Department of Medical Informatics University of São PauloDepartment of Education Institute of Biosciences State University of São Paulo (UNESP)Department of Education Institute of Biosciences State University of São Paulo (UNESP)University of São PauloUniversidade Estadual Paulista (Unesp)Da Rocha, Armando FreitasMassad, EduardoDos Santos, Paulo Cesar C.Pereira, Alfredo [UNESP]2018-12-11T16:39:52Z2018-12-11T16:39:52Z2015-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article86-96application/pdfhttp://dx.doi.org/10.1016/j.bica.2015.09.001Biologically Inspired Cognitive Architectures, v. 14, p. 86-96.2212-683Xhttp://hdl.handle.net/11449/16812710.1016/j.bica.2015.09.0012-s2.0-849465324992-s2.0-84946532499.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBiologically Inspired Cognitive Architecturesinfo:eu-repo/semantics/openAccess2024-01-27T06:59:55Zoai:repositorio.unesp.br:11449/168127Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-01-27T06:59:55Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A neurobiologically inspired model of social cognition: Memes spreading in the Internet
title A neurobiologically inspired model of social cognition: Memes spreading in the Internet
spellingShingle A neurobiologically inspired model of social cognition: Memes spreading in the Internet
Da Rocha, Armando Freitas
Biologically inspired architectures
Facebook
Fuzzy logics
Internet
Memetics
title_short A neurobiologically inspired model of social cognition: Memes spreading in the Internet
title_full A neurobiologically inspired model of social cognition: Memes spreading in the Internet
title_fullStr A neurobiologically inspired model of social cognition: Memes spreading in the Internet
title_full_unstemmed A neurobiologically inspired model of social cognition: Memes spreading in the Internet
title_sort A neurobiologically inspired model of social cognition: Memes spreading in the Internet
author Da Rocha, Armando Freitas
author_facet Da Rocha, Armando Freitas
Massad, Eduardo
Dos Santos, Paulo Cesar C.
Pereira, Alfredo [UNESP]
author_role author
author2 Massad, Eduardo
Dos Santos, Paulo Cesar C.
Pereira, Alfredo [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv University of São Paulo
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Da Rocha, Armando Freitas
Massad, Eduardo
Dos Santos, Paulo Cesar C.
Pereira, Alfredo [UNESP]
dc.subject.por.fl_str_mv Biologically inspired architectures
Facebook
Fuzzy logics
Internet
Memetics
topic Biologically inspired architectures
Facebook
Fuzzy logics
Internet
Memetics
description The field of memetics has attracted interdisciplinary attention as a biologically inspired approach to animal communication and sharing of human cultural patterns. Here a formalization of the theory of memes is proposed, making use of a formal language that is adequate to represent neural information processing. This formalization is the basis for our development of a model of social cognition including mathematical tools derived from the field of epidemiology. The model describes processes of communication between individuals of the same biological species, which share the same computational mechanisms of neural information processing. An example of the 'modus operandi' of the model is shown, consisting of a brief study of meme spreading in the Internet. Among the results of this study, we highlight: (1) The operationalization of memetics in a cognitive architecture that is based on biological constraints and possible to be implemented in digital computers; (2) the proposed model of meme spreading in an online social network may be of interest for public organisations, private corporations and people in general; and (3) the limitation of modeling should be considered when interpreting data about any dynamical phenomenon.
publishDate 2015
dc.date.none.fl_str_mv 2015-10-01
2018-12-11T16:39:52Z
2018-12-11T16:39:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.bica.2015.09.001
Biologically Inspired Cognitive Architectures, v. 14, p. 86-96.
2212-683X
http://hdl.handle.net/11449/168127
10.1016/j.bica.2015.09.001
2-s2.0-84946532499
2-s2.0-84946532499.pdf
url http://dx.doi.org/10.1016/j.bica.2015.09.001
http://hdl.handle.net/11449/168127
identifier_str_mv Biologically Inspired Cognitive Architectures, v. 14, p. 86-96.
2212-683X
10.1016/j.bica.2015.09.001
2-s2.0-84946532499
2-s2.0-84946532499.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Biologically Inspired Cognitive Architectures
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 86-96
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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