Programming phenomenology: proof of concept on adaptivity

Detalhes bibliográficos
Autor(a) principal: Marcondes, Francisco S.
Data de Publicação: 2018
Outros Autores: Vega, Ítalo S., Novais, Paulo
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: https://hdl.handle.net/1822/66092
Resumo: Phenomenology is the empirical study of mind and consciousness. Considering programming activity as a cognitive procedure, phenomenology may be applied to address some of its issues. A particular issue of interest is how one programming approach differs from others, i.e. the cognition performed when using an approach differs from the one performed using another? If they are similar the two approaches are like to be the same, otherwise essentially different. Since adaptive computing proposal is Turing-equivalent it may be discussed about the actual differences among those approaches. As an example, λ-calculus is also Turing-equivalent but since the cognition performed is different it justifies the several λ-based existing approaches. In order to accomplish such analysis, bergsonism will be used as phenomenological method to be applied in particular adaptive structure called adaptive-graph. As a result it will be argued cognition performed using adaptive-graph is different from the one performed when using non-adaptive one. Then it will generalized suggesting adaptive computing cognition shall be further explored.
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spelling Programming phenomenology: proof of concept on adaptivityAdaptive TechnologyBergsonismProgramming PhenomenologyPhenomenology is the empirical study of mind and consciousness. Considering programming activity as a cognitive procedure, phenomenology may be applied to address some of its issues. A particular issue of interest is how one programming approach differs from others, i.e. the cognition performed when using an approach differs from the one performed using another? If they are similar the two approaches are like to be the same, otherwise essentially different. Since adaptive computing proposal is Turing-equivalent it may be discussed about the actual differences among those approaches. As an example, λ-calculus is also Turing-equivalent but since the cognition performed is different it justifies the several λ-based existing approaches. In order to accomplish such analysis, bergsonism will be used as phenomenological method to be applied in particular adaptive structure called adaptive-graph. As a result it will be argued cognition performed using adaptive-graph is different from the one performed when using non-adaptive one. Then it will generalized suggesting adaptive computing cognition shall be further explored.This paper has been supported by COMPETE: POCI-01-0145-FEDER-0070 43 and FCT Fundac ̧ ̃ao para a Ciˆencia e Tecnologia - Project UID/CEC/00319/2013.ElsevierUniversidade do MinhoMarcondes, Francisco S.Vega, Ítalo S.Novais, Paulo20182018-01-01T00:00:00Zconference paperinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/1822/66092eng1877-050910.1016/j.procs.2018.04.159https://www.sciencedirect.com/science/article/pii/S1877050918305246info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-12T04:21:36Zoai:repositorium.sdum.uminho.pt:1822/66092Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:04:07.104611Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Programming phenomenology: proof of concept on adaptivity
title Programming phenomenology: proof of concept on adaptivity
spellingShingle Programming phenomenology: proof of concept on adaptivity
Marcondes, Francisco S.
Adaptive Technology
Bergsonism
Programming Phenomenology
title_short Programming phenomenology: proof of concept on adaptivity
title_full Programming phenomenology: proof of concept on adaptivity
title_fullStr Programming phenomenology: proof of concept on adaptivity
title_full_unstemmed Programming phenomenology: proof of concept on adaptivity
title_sort Programming phenomenology: proof of concept on adaptivity
author Marcondes, Francisco S.
author_facet Marcondes, Francisco S.
Vega, Ítalo S.
Novais, Paulo
author_role author
author2 Vega, Ítalo S.
Novais, Paulo
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Marcondes, Francisco S.
Vega, Ítalo S.
Novais, Paulo
dc.subject.por.fl_str_mv Adaptive Technology
Bergsonism
Programming Phenomenology
topic Adaptive Technology
Bergsonism
Programming Phenomenology
description Phenomenology is the empirical study of mind and consciousness. Considering programming activity as a cognitive procedure, phenomenology may be applied to address some of its issues. A particular issue of interest is how one programming approach differs from others, i.e. the cognition performed when using an approach differs from the one performed using another? If they are similar the two approaches are like to be the same, otherwise essentially different. Since adaptive computing proposal is Turing-equivalent it may be discussed about the actual differences among those approaches. As an example, λ-calculus is also Turing-equivalent but since the cognition performed is different it justifies the several λ-based existing approaches. In order to accomplish such analysis, bergsonism will be used as phenomenological method to be applied in particular adaptive structure called adaptive-graph. As a result it will be argued cognition performed using adaptive-graph is different from the one performed when using non-adaptive one. Then it will generalized suggesting adaptive computing cognition shall be further explored.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference paper
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/66092
url https://hdl.handle.net/1822/66092
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1877-0509
10.1016/j.procs.2018.04.159
https://www.sciencedirect.com/science/article/pii/S1877050918305246
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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