- Author
- Year
- 2017
- Title
- Can the experimental study of religion be advanced using a Bayesian predictive framework?
- Journal
- Religion, Brain & Behavior
- Volume | Issue number
- 7 | 4
- Pages (from-to)
- 331-334
- Document type
- Article
- Faculty
- Faculty of Social and Behavioural Sciences (FMG)
- Institute
- Psychology Research Institute (PsyRes)
- Abstract
-
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.
- URL
- go to publisher's site
- Other links
- Link to publication in Scopus
- Language
- English
- Note
- In special issue: Hilbert Problems in the Scientific Study of Religion
- Persistent Identifier
- https://hdl.handle.net/11245.1/1e3e8f14-7efe-407a-8c53-e3c5b0c55320
- Downloads
-
16-3-2018_Can the ex(Final published version)
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