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La experiencia aumenta la profundidad de la planificación en el juego humano

Bas van Opheusden1,2, Ionatan Kuperwajs3, Gianni Galbiati3,4

  • 1Center for Neural Science and Department of Psychology, New York University, New York, NY, USA. basvanopheusden@gmail.com.

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Los tomadores de decisiones expertos muestran una planificación más profunda en juegos complejos que los novatos. Los modelos computacionales revelan que la experiencia mejora la profundidad de la planificación y la memoria para los estados de juego, avanzando en la comprensión de la inteligencia humana.

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Área de la Ciencia:

  • Ciencias cognitivas
  • Inteligencia artificial
  • El comportamiento humano

Sus antecedentes:

  • La inteligencia humana se caracteriza por una planificación futura en varios pasos.
  • El debate persiste sobre si la experiencia aumenta la profundidad de la planificación en comparación con los novatos.
  • La investigación tradicional se enfrenta a limitaciones debido a la complejidad del juego o la simplicidad de la tarea.

Objetivo del estudio:

  • Investigar la experiencia en la planificación utilizando un juego de mesa complejo.
  • Cuantificar la profundidad de la planificación y su relación con la experiencia.
  • Desarrollar y validar un modelo cognitivo computacional para la planificación del comportamiento.

Principales métodos:

  • Utilizó un juego de mesa complejo para permitir una planificación profunda.
  • Modelo empleado que se ajusta a un modelo cognitivo computacional de búsqueda heurística.
  • Valida el modelo prediciendo las elecciones humanas, los tiempos de respuesta y los movimientos oculares.
  • Realizó una prueba de Turing y un experimento de reconstrucción.

Principales resultados:

  • Encontró pruebas sólidas para aumentar la profundidad de la planificación con experiencia.
  • Demostró que el comportamiento humano puede ser capturado por el modelo de búsqueda heurística.
  • Se ha demostrado que los expertos poseen una memoria superior y habilidades de reconstrucción para las características del tablero.
  • Confirmados hallazgos en el laboratorio y datos móviles a gran escala.

Conclusiones:

  • La experiencia en la toma de decisiones está asociada con una planificación significativamente más profunda.
  • El modelado cognitivo computacional proporciona una herramienta poderosa para estudiar la planificación humana.
  • Las tareas complejas combinadas con un modelado preciso pueden cerrar la brecha entre la investigación en inteligencia humana y artificial.