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Razonamiento económico y inteligencia artificial

David C Parkes1, Michael P Wellman2

  • 1Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 33 Oxford Street, Cambridge MA 02138, USA. parkes@eecs.harvard.edu wellman@umich.edu.

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|July 18, 2015
PubMed
Resumen
Este resumen es generado por máquina.

La investigación de la inteligencia artificial (IA) tiene como objetivo crear agentes racionales, o machina economicus, capaces de razonar económicamente. El diseño de economías de IA requiere nuevas reglas e incentivos, potencialmente más efectivos que los de los humanos.

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Área de la Ciencia:

  • Inteligencia artificial
  • Las economías
  • Sistemas basados en agentes

Sus antecedentes:

  • La investigación de IA se centra en la creación de agentes racionales que perciben y actúan hacia objetivos.
  • Esta búsqueda es paralela a la construcción de un "homo economicus" o "machina economicus" sintético.
  • Existen desafíos en el diseño de IA para el razonamiento económico efectivo.

Objetivo del estudio:

  • Revisar el progreso en la creación de la "máquina económica".
  • Discutir los desafíos en el diseño de IA para contextos económicos.
  • Explorar el diseño de sistemas multi-agente como economías de IA.

Principales métodos:

  • Revisión de la literatura sobre la IA y la racionalidad económica.
  • Análisis conceptual del diseño del agente de IA.
  • Exploración de las teorías de diseño normativo de la economía.

Principales resultados:

  • Los agentes de IA pueden aproximarse mejor a la racionalidad idealizada que los humanos.
  • Se necesitan nuevas reglas de interacción y sistemas de incentivos para las economías de IA.
  • Las teorías económicas del diseño normativo pueden ser más aplicables a la IA que a los humanos.

Conclusiones:

  • El potencial de la IA para la racionalidad ofrece nuevas vías para el diseño de sistemas económicos.
  • Las economías futuras de la IA pueden utilizar reglas e incentivos distintos.
  • Esta investigación une el desarrollo de la IA con los principios económicos para los agentes artificiales.