Can the experimental study of religion be advanced using a Bayesian predictive framework?
We propose a Bayesian framework as an important theoretical and methodological tool to improve the scientific study of religion. At a theoretical level, the Bayesian predictive processing framework has the potential to provide a unifying account of religious beliefs and experience by stressing the c...
| Auteurs: | ; |
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| Type de support: | Électronique Article |
| Langue: | Anglais |
| Vérifier la disponibilité: | HBZ Gateway |
| Journals Online & Print: | En cours de chargement...
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| Fernleihe: | Fernleihe für die Fachinformationsdienste |
| Publié: |
Routledge
2017
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| Dans: |
Religion, brain & behavior
Année: 2017, Volume: 7, Numéro: 4, Pages: 331-334 |
| Sujets non-standardisés: | B
Bayesian statistics
B predictive coding B cognitive science of religion B prediction error |
| Accès en ligne: |
Volltext (kostenfrei) |
| Résumé: | We propose a Bayesian framework as an important theoretical and methodological tool to improve the scientific study of religion. At a theoretical level, the Bayesian predictive processing framework has the potential to provide a unifying account of religious beliefs and experience by stressing the central role of error monitoring and error correction in belief maintenance. At a methodological level, Bayesian statistics are needed to provide the extraordinary evidence for the extraordinary theoretical claims regarding the causes and consequences of religion. |
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| ISSN: | 2153-5981 |
| Contient: | Enthalten in: Religion, brain & behavior
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| Persistent identifiers: | DOI: 10.1080/2153599X.2016.1249915 |