2024
Computing Religious Devotion : Early model-building attempts
LANG, MartinBasic information
Original name
Computing Religious Devotion : Early model-building attempts
Authors
LANG, Martin ORCID (203 Czech Republic, guarantor, belonging to the institution)
Edition
9th Biennial Meeting of the International Association for the Cognitive and Evolutionary Sciences of Religion 2024 (IACESR), Oxford, United Kingdom, 28-30 June, 2024, 2024
Other information
Language
English
Type of outcome
Presentations at conferences
Field of Study
60304 Religious studies
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
is not subject to a state or trade secret
References:
RIV identification code
RIV/00216224:14210/24:00139513
Organization unit
Faculty of Arts
Keywords in English
computational modeling; religious belief; decision-making; morality; norms
Tags
Tags
International impact, Reviewed
Changed: 14/2/2025 16:42, Mgr. Pavla Martinková
Abstract
In the original language
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.
Links
| GM24-11622M, research and development project |
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