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Preschoolers search longer when there is more information to be gained.
Ruggeri, Azzurra; Stanciu, Oana; Pelz, Madeline; Gopnik, Alison; Schulz, Eric.
Afiliación
  • Ruggeri A; Max Planck Research Group iSearch, Max Planck Institute for Human Development, Berlin, Germany.
  • Stanciu O; Department of Cognitive Science, Central European University, Vienna, Austria.
  • Pelz M; School of Social Sciences and Technology, Technical University Munich, Munich, Germany.
  • Gopnik A; Department of Cognitive Science, Central European University, Vienna, Austria.
  • Schulz E; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Dev Sci ; 27(1): e13411, 2024 Jan.
Article en En | MEDLINE | ID: mdl-37211720
ABSTRACT
What drives children to explore and learn when external rewards are uncertain or absent? Across three studies, we tested whether information gain itself acts as an internal reward and suffices to motivate children's actions. We measured 24-56-month-olds' persistence in a game where they had to search for an object (animal or toy), which they never find, hidden behind a series of doors, manipulating the degree of uncertainty about which specific object was hidden. We found that children were more persistent in their search when there was higher uncertainty, and therefore, more information to be gained with each action, highlighting the importance of research on artificial intelligence to invest in curiosity-driven algorithms. RESEARCH HIGHLIGHTS Across three studies, we tested whether information gain itself acts as an internal reward and suffices to motivate preschoolers' actions. We measured preschoolers' persistence when searching for an object behind a series of doors, manipulating the uncertainty about which specific object was hidden. We found that preschoolers were more persistent when there was higher uncertainty, and therefore, more information to be gained with each action. Our results highlight the importance of research on artificial intelligence to invest in curiosity-driven algorithms.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Aprendizaje Límite: Child / Humans Idioma: En Revista: Dev Sci Asunto de la revista: PSICOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Aprendizaje Límite: Child / Humans Idioma: En Revista: Dev Sci Asunto de la revista: PSICOLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Reino Unido