A neurobiologically inspired model of social cognition: Memes spreading in the Internet
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
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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Repositório Institucional da UNESP |
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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 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 Fuzzy logics Internet Memetics |
topic |
Biologically inspired architectures 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 |
|
_version_ |
1799965743423422464 |