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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.
Nature
|May 31, 2023
Resumen
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.
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.
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