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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| 第一著者: | |
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| フォーマット: | Online |
| 言語: | spa |
| 出版事項: |
Universidad de Sonora
2018
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| オンライン･アクセス: | https://trascender.unison.mx/index.php/trascender/article/view/10 |
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| 要約: | 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. |
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