Some relationshps betweeen economics and artificial intelligence paradigms

This paper explores some relationships between the Economics and some of the current paradigms that define the methodologies and models of artificial intelligence. The approach that stands out is the paradigm of mathematical principles of automated learning or machine learning, as well as the contri...

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Главный автор: Olguín Gallardo, Alfredo
Формат: Online
Язык:spa
Опубликовано: Universidad de Sonora 2018
Online-ссылка:https://trascender.unison.mx/index.php/trascender/article/view/10
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spelling oai:https:--trascender.unison.mx:article-102021-07-30T15:32:15Z Some relationshps betweeen economics and artificial intelligence paradigms Relación entre economía y algunos paradigmas de inteligencia artificial Olguín Gallardo, Alfredo Economía computacional Complejidad Inteligencia artificial Computational Economics Complexity Artificial Intelligence This paper explores some relationships between the Economics and some of the current paradigms that define the methodologies and models of artificial intelligence. The approach that stands out is the paradigm of mathematical principles of automated learning or machine learning, as well as the contribution of computational economics and economy of complexity on models based on agents in the paradigm of biological principles. In this research are shown some information schemes that distinguish a standard model of automated learning and conventional econometrics, later the visions are developed. Finally, the importance of precision in the machine learning classifier models in the technology industry is explained. En este documento se exploran algunas relaciones entre la economía y algunos de los paradigmas actuales que definen las metodologías y modelos de inteligencia artificial. La aproximación que se destaca es el paradigma de principios matemáticos de aprendizaje automatizado o machine learning , así como la contribución de la economía computacional y economía de la complejidad sobre modelos basados en agentes en el paradigma de principios biológicos. En esta investigación se muestran algunos esquemas de información que distinguen un modelo estándar de aprendizaje automatizado y la econometría convencional, más adelante se desarrollan las visiones. Finalmente, se explica la importancia de la precisión en los modelos clasificatorios de machine learning en la industria de tecnología.   Universidad de Sonora 2018-04-30 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Evaluado por pares application/pdf https://trascender.unison.mx/index.php/trascender/article/view/10 10.36791/tcg.v0i7.10 TRASCENDER, CONTABILIDAD Y GESTIÓN; No. 7 (2018): TRASCENDER, CONTABILIDAD Y GESTIÓN; 26-33 TRASCENDER, CONTABILIDAD Y GESTIÓN; Núm. 7 (2018): TRASCENDER, CONTABILIDAD Y GESTIÓN; 26-33 2448-6388 spa https://trascender.unison.mx/index.php/trascender/article/view/10/12 Derechos de autor 2019 Alfredo Olguín Gallardo https://creativecommons.org/licenses/by-nc-nd/4.0
institution Trascender, Contabilidad y Gestión
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language spa
format Online
author Olguín Gallardo, Alfredo
spellingShingle Olguín Gallardo, Alfredo
Some relationshps betweeen economics and artificial intelligence paradigms
author_facet Olguín Gallardo, Alfredo
author_sort Olguín Gallardo, Alfredo
title Some relationshps betweeen economics and artificial intelligence paradigms
title_short Some relationshps betweeen economics and artificial intelligence paradigms
title_full Some relationshps betweeen economics and artificial intelligence paradigms
title_fullStr Some relationshps betweeen economics and artificial intelligence paradigms
title_full_unstemmed Some relationshps betweeen economics and artificial intelligence paradigms
title_sort some relationshps betweeen economics and artificial intelligence paradigms
description This paper explores some relationships between the Economics and some of the current paradigms that define the methodologies and models of artificial intelligence. The approach that stands out is the paradigm of mathematical principles of automated learning or machine learning, as well as the contribution of computational economics and economy of complexity on models based on agents in the paradigm of biological principles. In this research are shown some information schemes that distinguish a standard model of automated learning and conventional econometrics, later the visions are developed. Finally, the importance of precision in the machine learning classifier models in the technology industry is explained.
publisher Universidad de Sonora
publishDate 2018
url https://trascender.unison.mx/index.php/trascender/article/view/10
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