Can AI Help Us to Understand Belief? Sources, Advances, Limits, and Future Directions

• Andrea Vestrucci ^[1] ; Sara Lumbreras ^[2] ; Lluis Oviedo ^[3]
  1. [1] Université de Genève

     Université de Genève

     Genève, Suiza

     
  2. [2] Universidad Pontificia Comillas

     Universidad Pontificia Comillas

     Madrid, España

     
  3. [3] Pontifical University Antonianum

     Pontifical University Antonianum

     Roma Capitale, Italia

     

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• Localización: IJIMAI, ISSN-e 1989-1660, Vol. 7, Nº. 1, 2021, págs. 24-33
• Idioma: inglés
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• Dialnet Métricas: 3 Citas
• Resumen

  • The study of belief is expanding and involves a growing set of disciplines and research areas. These research programs attempt to shed light on the process of believing, understood as a central human cognitive function. Computational systems and, in particular, what we commonly understand as Artificial Intelligence (AI), can provide some insights on how beliefs work as either a linear process or as a complex system. However, the computational approach has undergone some scrutiny, in particular about the differences between what is distinctively human and what can be inferred from AI systems. The present article investigates to what extent recent developments in AI provide new elements to the debate and clarify the process of belief acquisition, consolidation, and recalibration. The article analyses and debates current issues and topics of investigation such as: different models to understand belief, the exploration of belief in an automated reasoning environment, the case of religious beliefs, and future directions of research.