Are you experienced? Contributions towards experience recognition, cognition, and decision making
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Tipo de documento: | Tese |
Idioma: | eng |
Título da fonte: | Repositório Institucional do FGV (FGV Repositório Digital) |
Texto Completo: | http://hdl.handle.net/10438/17786 |
Resumo: | Este trabalho consiste em três contribuições independentes do âmbito da modelagem cognitiva ao campo de management science. O primeiro aborda Experience Recognition, uma teoria inicialmente introduzida por Linhares e Freitas [91]. Aqui ela é estendida e delineada, além de se discutir suas contribuições para a ciência cognitiva e management science. A segunda contribuição introduz a framework cognitiva chamada Rotational Sparse Distributed Memory, e fornece uma aplicação-exemplo de suas características como substrato para um fortemente relevante campo da management science: redes semânticas. A contribuição final aplica Rotational Sparse Distributed Memory para a modelagem de motifs de rede, flexibilidade dinâmica e organização hierárquica, três resultados de forte impacto na literatura recente de neurociência. A relevância de uma abordagem baseada na modelagem neurocientífica para a decision science é discutida. |
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Chada, Daniel de MagalhãesEscolas::EBAPEGayler, RossMendes, AlexandreSilva, Moacyr Alvim Horta Barbosa daCaldieraro, FabioLinhares, Alexandre2017-01-23T11:48:10Z2017-01-23T11:48:10Z2016-12-08CHADA, Daniel de Magalhães. Are you experienced? Contributions towards experience recognition, cognition, and decision making. Tese (Doutorado em Administração) - FGV - Fundação Getúlio Vargas, Rio de Janeiro, 2016.http://hdl.handle.net/10438/17786Este trabalho consiste em três contribuições independentes do âmbito da modelagem cognitiva ao campo de management science. O primeiro aborda Experience Recognition, uma teoria inicialmente introduzida por Linhares e Freitas [91]. Aqui ela é estendida e delineada, além de se discutir suas contribuições para a ciência cognitiva e management science. A segunda contribuição introduz a framework cognitiva chamada Rotational Sparse Distributed Memory, e fornece uma aplicação-exemplo de suas características como substrato para um fortemente relevante campo da management science: redes semânticas. A contribuição final aplica Rotational Sparse Distributed Memory para a modelagem de motifs de rede, flexibilidade dinâmica e organização hierárquica, três resultados de forte impacto na literatura recente de neurociência. A relevância de uma abordagem baseada na modelagem neurocientífica para a decision science é discutida.This work is comprised of three independent contributions from the realm of cognitive modeling to management science. The first addresses Experience Recognition, a theory first introduced by Linhares and Freitas [91]. Here it is extended and better defined, and also its contribution to cognitive science and management science are discussed. The second contribution introduces a cognitive framework called Rotational Sparse Distributed Memory, and provides a sample application of its characteristics as a substrate for a highly relevant subject in management science: semantic networks. The final contribution applies Rotational Sparse Distributed Memory to modeling network motifs, dynamic flexibility and hierarchical organization, all highly impactful results in recent neuroscience literature. The relevance of a neuroscientific modeling approach towards a cognitive view of decision science are discussed.engCognitive modelingRotational Sparse Distributed MemoryNetwork motifsSemantic networksSpreading activationSparse distributed memoryAdministração de empresasAdministraçãoCiência cognitivaMemória - Simulação por computadorProcesso decisórioSistemas de reconhecimento de padrõesInteligência artificial distribuídaAre you experienced? 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dc.title.eng.fl_str_mv |
Are you experienced? Contributions towards experience recognition, cognition, and decision making |
title |
Are you experienced? Contributions towards experience recognition, cognition, and decision making |
spellingShingle |
Are you experienced? Contributions towards experience recognition, cognition, and decision making Chada, Daniel de Magalhães Cognitive modeling Rotational Sparse Distributed Memory Network motifs Semantic networks Spreading activation Sparse distributed memory Administração de empresas Administração Ciência cognitiva Memória - Simulação por computador Processo decisório Sistemas de reconhecimento de padrões Inteligência artificial distribuída |
title_short |
Are you experienced? Contributions towards experience recognition, cognition, and decision making |
title_full |
Are you experienced? Contributions towards experience recognition, cognition, and decision making |
title_fullStr |
Are you experienced? Contributions towards experience recognition, cognition, and decision making |
title_full_unstemmed |
Are you experienced? Contributions towards experience recognition, cognition, and decision making |
title_sort |
Are you experienced? Contributions towards experience recognition, cognition, and decision making |
author |
Chada, Daniel de Magalhães |
author_facet |
Chada, Daniel de Magalhães |
author_role |
author |
dc.contributor.unidadefgv.por.fl_str_mv |
Escolas::EBAPE |
dc.contributor.member.none.fl_str_mv |
Gayler, Ross Mendes, Alexandre Silva, Moacyr Alvim Horta Barbosa da Caldieraro, Fabio |
dc.contributor.author.fl_str_mv |
Chada, Daniel de Magalhães |
dc.contributor.advisor1.fl_str_mv |
Linhares, Alexandre |
contributor_str_mv |
Linhares, Alexandre |
dc.subject.eng.fl_str_mv |
Cognitive modeling Rotational Sparse Distributed Memory Network motifs Semantic networks Spreading activation Sparse distributed memory |
topic |
Cognitive modeling Rotational Sparse Distributed Memory Network motifs Semantic networks Spreading activation Sparse distributed memory Administração de empresas Administração Ciência cognitiva Memória - Simulação por computador Processo decisório Sistemas de reconhecimento de padrões Inteligência artificial distribuída |
dc.subject.area.por.fl_str_mv |
Administração de empresas |
dc.subject.bibliodata.por.fl_str_mv |
Administração Ciência cognitiva Memória - Simulação por computador Processo decisório Sistemas de reconhecimento de padrões Inteligência artificial distribuída |
description |
Este trabalho consiste em três contribuições independentes do âmbito da modelagem cognitiva ao campo de management science. O primeiro aborda Experience Recognition, uma teoria inicialmente introduzida por Linhares e Freitas [91]. Aqui ela é estendida e delineada, além de se discutir suas contribuições para a ciência cognitiva e management science. A segunda contribuição introduz a framework cognitiva chamada Rotational Sparse Distributed Memory, e fornece uma aplicação-exemplo de suas características como substrato para um fortemente relevante campo da management science: redes semânticas. A contribuição final aplica Rotational Sparse Distributed Memory para a modelagem de motifs de rede, flexibilidade dinâmica e organização hierárquica, três resultados de forte impacto na literatura recente de neurociência. A relevância de uma abordagem baseada na modelagem neurocientífica para a decision science é discutida. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016-12-08 |
dc.date.accessioned.fl_str_mv |
2017-01-23T11:48:10Z |
dc.date.available.fl_str_mv |
2017-01-23T11:48:10Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
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doctoralThesis |
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dc.identifier.citation.fl_str_mv |
CHADA, Daniel de Magalhães. Are you experienced? Contributions towards experience recognition, cognition, and decision making. Tese (Doutorado em Administração) - FGV - Fundação Getúlio Vargas, Rio de Janeiro, 2016. |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10438/17786 |
identifier_str_mv |
CHADA, Daniel de Magalhães. Are you experienced? Contributions towards experience recognition, cognition, and decision making. Tese (Doutorado em Administração) - FGV - Fundação Getúlio Vargas, Rio de Janeiro, 2016. |
url |
http://hdl.handle.net/10438/17786 |
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