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- W4362671736 abstract "Abstract Inspired by recent Bayesian interpretations about the psychology underlying religion, the paper introduces a theory proposing that religious conversion is shaped by three factors: (i) novel relevant information, experienced in perceptual or in social form (e.g., following interaction with missionaries); (ii) changes in the utility (e.g., expressed in an opportunity to raise in social rank) associated with accepting a new religious creed; and (iii) prior beliefs, favouring religious faiths that, although new, still remain consistent with entrenched cultural views (resulting in the phenomenon of syncretism). From the theory, a multifactorial picture of conversion emerges. Based on which factor is primarily engaged in each case, a classification of different types of conversion can be derived, with a remarkable fit with empirical literature. The theory offers a description of the processes underlying religious conversion and, highlighting the links among apparently incompatible previous views, it reconciles these views within a unifying framework." @default.
- W4362671736 created "2023-04-07" @default.
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- W4362671736 date "2023-04-03" @default.
- W4362671736 modified "2023-10-16" @default.
- W4362671736 title "The Computations Underlying Religious Conversion: A Bayesian Decision Model" @default.
- W4362671736 doi "https://doi.org/10.1163/15685373-12340161" @default.
- W4362671736 hasPublicationYear "2023" @default.
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