Intencionalidad en sistemas artificiales: una aproximacion desde John Searle
La monografía se ocupa de la noción -estrictamente filosófica- de la intencionalidad. En concreto, el texto ensaya la formulación del problema que consiste en preguntarse acerca de la forma correcta de atribuir o adscribir estados intencionales a diferentes tipos de sistemas. Con base en la teoría d...
- Autores:
-
Bautista Gonzalez, Fabian Mauricio
- Tipo de recurso:
- http://purl.org/coar/version/c_b1a7d7d4d402bcce
- Fecha de publicación:
- 2017
- Institución:
- Universidad Industrial de Santander
- Repositorio:
- Repositorio UIS
- Idioma:
- spa
- OAI Identifier:
- oai:noesis.uis.edu.co:20.500.14071/36247
- Palabra clave:
- Intencionalidad
Sistemas Artificiales
Inteligencia Artificial
Gofai
The Monograph Deals With The Notion -Strictly Philosophical- Of Intentionality. Specifically
The Text Tests The Formulation Of The Problem Of Asking The Right Way To Assign Or Ascribe Intentional States To Different Types Of Systems. Based On The Intentionality Theory Of The American Philosopher John Searle
The Objective Is To Determine The Intentional Class That Can Be Attributed To An Artificial System Of The Type Of Strong Artificial Intelligence And Gofai (Good Old-Fashioned Artificial Intelligence). It Is About To Understand The Sense In Which
For Searle
The Intentionality Of These Types Of Systems Is Not Intrinsic To Themselves But
Rather
It Is Derived Intentionality. This Implies Studying Both The Way In Which Searle Understands Intentionality And The Intentional Classes That Can Be Fixed From There: Intrinsic Intentionality
Derived Intentionality And As-If Intentionality. Among Other Things
Searle'S Classification Of Intentionality Compromises The Ontological Distinction Between That Which Is Relative To Us
Human Beings
And That Which Is Independent. In Such A Context
It Is Quite Fair To Think That The Monograph Is Focused -But Not Limited- On Presenting Searle'S Position Regarding One Of The Research Programs Of Artificial Intelligence
Namely Strong Artificial Intelligence Or Gofai.
- Rights
- License
- Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
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|
dc.title.none.fl_str_mv |
Intencionalidad en sistemas artificiales: una aproximacion desde John Searle |
dc.title.english.none.fl_str_mv |
Intentionality in artificial systems: an approach from |
title |
Intencionalidad en sistemas artificiales: una aproximacion desde John Searle |
spellingShingle |
Intencionalidad en sistemas artificiales: una aproximacion desde John Searle Intencionalidad Sistemas Artificiales Inteligencia Artificial Gofai The Monograph Deals With The Notion -Strictly Philosophical- Of Intentionality. Specifically The Text Tests The Formulation Of The Problem Of Asking The Right Way To Assign Or Ascribe Intentional States To Different Types Of Systems. Based On The Intentionality Theory Of The American Philosopher John Searle The Objective Is To Determine The Intentional Class That Can Be Attributed To An Artificial System Of The Type Of Strong Artificial Intelligence And Gofai (Good Old-Fashioned Artificial Intelligence). It Is About To Understand The Sense In Which For Searle The Intentionality Of These Types Of Systems Is Not Intrinsic To Themselves But Rather It Is Derived Intentionality. This Implies Studying Both The Way In Which Searle Understands Intentionality And The Intentional Classes That Can Be Fixed From There: Intrinsic Intentionality Derived Intentionality And As-If Intentionality. Among Other Things Searle'S Classification Of Intentionality Compromises The Ontological Distinction Between That Which Is Relative To Us Human Beings And That Which Is Independent. In Such A Context It Is Quite Fair To Think That The Monograph Is Focused -But Not Limited- On Presenting Searle'S Position Regarding One Of The Research Programs Of Artificial Intelligence Namely Strong Artificial Intelligence Or Gofai. |
title_short |
Intencionalidad en sistemas artificiales: una aproximacion desde John Searle |
title_full |
Intencionalidad en sistemas artificiales: una aproximacion desde John Searle |
title_fullStr |
Intencionalidad en sistemas artificiales: una aproximacion desde John Searle |
title_full_unstemmed |
Intencionalidad en sistemas artificiales: una aproximacion desde John Searle |
title_sort |
Intencionalidad en sistemas artificiales: una aproximacion desde John Searle |
dc.creator.fl_str_mv |
Bautista Gonzalez, Fabian Mauricio |
dc.contributor.advisor.none.fl_str_mv |
Maldonado Serrano, Jorge Francisco |
dc.contributor.author.none.fl_str_mv |
Bautista Gonzalez, Fabian Mauricio |
dc.subject.none.fl_str_mv |
Intencionalidad Sistemas Artificiales Inteligencia Artificial Gofai |
topic |
Intencionalidad Sistemas Artificiales Inteligencia Artificial Gofai The Monograph Deals With The Notion -Strictly Philosophical- Of Intentionality. Specifically The Text Tests The Formulation Of The Problem Of Asking The Right Way To Assign Or Ascribe Intentional States To Different Types Of Systems. Based On The Intentionality Theory Of The American Philosopher John Searle The Objective Is To Determine The Intentional Class That Can Be Attributed To An Artificial System Of The Type Of Strong Artificial Intelligence And Gofai (Good Old-Fashioned Artificial Intelligence). It Is About To Understand The Sense In Which For Searle The Intentionality Of These Types Of Systems Is Not Intrinsic To Themselves But Rather It Is Derived Intentionality. This Implies Studying Both The Way In Which Searle Understands Intentionality And The Intentional Classes That Can Be Fixed From There: Intrinsic Intentionality Derived Intentionality And As-If Intentionality. Among Other Things Searle'S Classification Of Intentionality Compromises The Ontological Distinction Between That Which Is Relative To Us Human Beings And That Which Is Independent. In Such A Context It Is Quite Fair To Think That The Monograph Is Focused -But Not Limited- On Presenting Searle'S Position Regarding One Of The Research Programs Of Artificial Intelligence Namely Strong Artificial Intelligence Or Gofai. |
dc.subject.keyword.none.fl_str_mv |
The Monograph Deals With The Notion -Strictly Philosophical- Of Intentionality. Specifically The Text Tests The Formulation Of The Problem Of Asking The Right Way To Assign Or Ascribe Intentional States To Different Types Of Systems. Based On The Intentionality Theory Of The American Philosopher John Searle The Objective Is To Determine The Intentional Class That Can Be Attributed To An Artificial System Of The Type Of Strong Artificial Intelligence And Gofai (Good Old-Fashioned Artificial Intelligence). It Is About To Understand The Sense In Which For Searle The Intentionality Of These Types Of Systems Is Not Intrinsic To Themselves But Rather It Is Derived Intentionality. This Implies Studying Both The Way In Which Searle Understands Intentionality And The Intentional Classes That Can Be Fixed From There: Intrinsic Intentionality Derived Intentionality And As-If Intentionality. Among Other Things Searle'S Classification Of Intentionality Compromises The Ontological Distinction Between That Which Is Relative To Us Human Beings And That Which Is Independent. In Such A Context It Is Quite Fair To Think That The Monograph Is Focused -But Not Limited- On Presenting Searle'S Position Regarding One Of The Research Programs Of Artificial Intelligence Namely Strong Artificial Intelligence Or Gofai. |
description |
La monografía se ocupa de la noción -estrictamente filosófica- de la intencionalidad. En concreto, el texto ensaya la formulación del problema que consiste en preguntarse acerca de la forma correcta de atribuir o adscribir estados intencionales a diferentes tipos de sistemas. Con base en la teoría de la intencionalidad del filósofo norteamericano John Searle, el objetivo es determinar la clase intencional que le es posible atribuir a un sistema artificial del tipo de la Inteligencia Artificial Fuerte y de tipo GOFAI (Good Old-Fashioned Artificial Intelligence). Se trata de comprender el sentido en el que, para Searle, la intencionalidad de estos tipos de sistemas no es intrínseca a ellos mismos sino que, más bien, es intencionalidad derivada. Lo anterior implica estudiar tanto la forma en la que Searle entiende la intencionalidad como las clases intencionales que pueden ser fijadas a partir de allí: intencionalidad intrínseca, intencionalidad derivada e intencionalidad como-si. Entre otras cosas, la clasificación de la intencionalidad de Searle compromete la distinción ontológica entre aquello que es relativo a nosotros, los seres humanos, y aquello que es independiente. En este contexto general, resulta bastante justo pensar que la monografía está enfocada -no por ello limitada- en presentar la posición de Searle respecto de uno de los programas investigativos de la Inteligencia Artificial, a saber, la Inteligencia Artificial Fuerte o GOFAL. |
publishDate |
2017 |
dc.date.available.none.fl_str_mv |
2017 2024-03-03T23:19:06Z |
dc.date.created.none.fl_str_mv |
2017 |
dc.date.issued.none.fl_str_mv |
2017 |
dc.date.accessioned.none.fl_str_mv |
2024-03-03T23:19:06Z |
dc.type.local.none.fl_str_mv |
Tesis/Trabajo de grado - Monografía - Pregrado |
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http://purl.org/coar/resource_type/c_7a1f |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/version/c_b1a7d7d4d402bcce |
format |
http://purl.org/coar/version/c_b1a7d7d4d402bcce |
dc.identifier.uri.none.fl_str_mv |
https://noesis.uis.edu.co/handle/20.500.14071/36247 |
dc.identifier.instname.none.fl_str_mv |
Universidad Industrial de Santander |
dc.identifier.reponame.none.fl_str_mv |
Universidad Industrial de Santander |
dc.identifier.repourl.none.fl_str_mv |
https://noesis.uis.edu.co |
url |
https://noesis.uis.edu.co/handle/20.500.14071/36247 https://noesis.uis.edu.co |
identifier_str_mv |
Universidad Industrial de Santander |
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spa |
language |
spa |
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http://creativecommons.org/licenses/by/4.0/ |
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http://creativecommons.org/licenses/by-nc/4.0 |
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Filosofía |
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Escuela de Filosofía |
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Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by-nc/4.0Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2Maldonado Serrano, Jorge FranciscoBautista Gonzalez, Fabian Mauricio2024-03-03T23:19:06Z20172024-03-03T23:19:06Z20172017https://noesis.uis.edu.co/handle/20.500.14071/36247Universidad Industrial de SantanderUniversidad Industrial de Santanderhttps://noesis.uis.edu.coLa monografía se ocupa de la noción -estrictamente filosófica- de la intencionalidad. En concreto, el texto ensaya la formulación del problema que consiste en preguntarse acerca de la forma correcta de atribuir o adscribir estados intencionales a diferentes tipos de sistemas. Con base en la teoría de la intencionalidad del filósofo norteamericano John Searle, el objetivo es determinar la clase intencional que le es posible atribuir a un sistema artificial del tipo de la Inteligencia Artificial Fuerte y de tipo GOFAI (Good Old-Fashioned Artificial Intelligence). Se trata de comprender el sentido en el que, para Searle, la intencionalidad de estos tipos de sistemas no es intrínseca a ellos mismos sino que, más bien, es intencionalidad derivada. Lo anterior implica estudiar tanto la forma en la que Searle entiende la intencionalidad como las clases intencionales que pueden ser fijadas a partir de allí: intencionalidad intrínseca, intencionalidad derivada e intencionalidad como-si. Entre otras cosas, la clasificación de la intencionalidad de Searle compromete la distinción ontológica entre aquello que es relativo a nosotros, los seres humanos, y aquello que es independiente. En este contexto general, resulta bastante justo pensar que la monografía está enfocada -no por ello limitada- en presentar la posición de Searle respecto de uno de los programas investigativos de la Inteligencia Artificial, a saber, la Inteligencia Artificial Fuerte o GOFAL.PregradoFilósofoIntentionality, Artificial systems, Artificial Intelligence, GOFAI, types ofapplication/pdfspaUniversidad Industrial de SantanderFacultad de Ciencias HumanasFilosofíaEscuela de FilosofíaIntencionalidadSistemas ArtificialesInteligencia ArtificialGofaiThe Monograph Deals With The Notion -Strictly Philosophical- Of Intentionality. SpecificallyThe Text Tests The Formulation Of The Problem Of Asking The Right Way To Assign Or Ascribe Intentional States To Different Types Of Systems. Based On The Intentionality Theory Of The American Philosopher John SearleThe Objective Is To Determine The Intentional Class That Can Be Attributed To An Artificial System Of The Type Of Strong Artificial Intelligence And Gofai (Good Old-Fashioned Artificial Intelligence). It Is About To Understand The Sense In WhichFor SearleThe Intentionality Of These Types Of Systems Is Not Intrinsic To Themselves ButRatherIt Is Derived Intentionality. This Implies Studying Both The Way In Which Searle Understands Intentionality And The Intentional Classes That Can Be Fixed From There: Intrinsic IntentionalityDerived Intentionality And As-If Intentionality. Among Other ThingsSearle'S Classification Of Intentionality Compromises The Ontological Distinction Between That Which Is Relative To UsHuman BeingsAnd That Which Is Independent. In Such A ContextIt Is Quite Fair To Think That The Monograph Is Focused -But Not Limited- On Presenting Searle'S Position Regarding One Of The Research Programs Of Artificial IntelligenceNamely Strong Artificial Intelligence Or Gofai.Intencionalidad en sistemas artificiales: una aproximacion desde John SearleIntentionality in artificial systems: an approach fromTesis/Trabajo de grado - Monografía - Pregradohttp://purl.org/coar/resource_type/c_7a1fhttp://purl.org/coar/version/c_b1a7d7d4d402bcceORIGINALCarta de autorización.pdfapplication/pdf320271https://noesis.uis.edu.co/bitstreams/99d9fe8e-c15c-45b6-9ad7-3da7cfbfcb3e/download9419d6cafc005995b9ce1a3f893bb04aMD51Documento.pdfapplication/pdf12767287https://noesis.uis.edu.co/bitstreams/047aa2f4-1133-4548-8319-acc35f679e04/download9145af131432a6a19f71003369b77cc4MD52Nota de proyecto.pdfapplication/pdf247950https://noesis.uis.edu.co/bitstreams/e9aae263-8c7d-463e-9288-4a689ed0cd92/download8f6f01d558dd7e46d8d43562a3e6ec11MD5320.500.14071/36247oai:noesis.uis.edu.co:20.500.14071/362472024-03-03 18:19:06.041http://creativecommons.org/licenses/by-nc/4.0http://creativecommons.org/licenses/by/4.0/open.accesshttps://noesis.uis.edu.coDSpace at UISnoesis@uis.edu.co |