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




Faculty/Professorship: Philosophy  
Author(s): Vestrucci, Andrea ; Lumbreras, Sara; Oviedo, Lluis
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2022
Pages: 24-33
Source/Other editions: International journal of interactive multimedia and artificial intelligence : IJIMAI, 7 (2021), 1, S. 24-33 - ISSN: 1989-1660
is version of: 10.9781/ijimai.2021.08.003
Year of first publication: 2021
Language(s): English
Licence: Creative Commons - CC BY - Attribution 4.0 International 
URN: urn:nbn:de:bvb:473-irb-573809
Abstract: 
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.
GND Keywords: Künstliche Intelligenz; Glaube; Religion
Keywords: Artificial Intelligence, Beliefs, Religion, Computational Model, AI Limits
DDC Classification: 100 Philosophy  
RVK Classification: CC 7270   
Type: Article
URI: https://fis.uni-bamberg.de/handle/uniba/57380
Release Date: 20. December 2022

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