Computing Religious Devotion: Early model-building attempts
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| Year of publication | 2024 |
| Type | Appeared in Conference without Proceedings |
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| Description | Following the pioneering work on computational cognitive modeling of religious beliefs and ritual behaviors in CESR, Martin Lang will introduce his new project aimed at understanding how religious beliefs enter cognitive processes during normative decision- making.The project hails from the proposition that the human mind utilizes the Bayesian generative model to represent probabilistic relationships between actions and outcomes and simulate their various combinations. In this computational framework, religious devotion acts as a strong prior affecting the estimated probabilities of states and action- outcome relationships, devaluing non-normative solutions. Upon introducing the model, Lang will further discuss empirical designs and preliminary data aimed at testing and refining this computational model. |
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