The Computational Science of Religion

This article provides a basic overview of the most common methods of computer modelling and simulation that are currently being used to study religion. It focuses on the use (and illustrates the value) of system dynamics models, agent-based models, including game theory and multi-agent artificial in...

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Bibliographic Details
Published in:Journal for the cognitive science of religion
Authors: Lane, Justin (Author) ; Shults, Fount LeRon 1965- (Author)
Format: Electronic Article
Language:English
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Published: Equinox Publ. [2021]
In: Journal for the cognitive science of religion
Standardized Subjects / Keyword chains:B Modeling / System dynamics / Game theory / Artificial intelligence / Neural networks / Method / Science of Religion
RelBib Classification:AA Study of religion
AE Psychology of religion
NCJ Ethics of science
Further subjects:B Simulation
B system dynamic model
B Artificial Intelligence
B Natural Language Processing
B Religion
B agentbased model
B computer modelling
Online Access: Volltext (Verlag)
Volltext (doi)
Description
Summary:This article provides a basic overview of the most common methods of computer modelling and simulation that are currently being used to study religion. It focuses on the use (and illustrates the value) of system dynamics models, agent-based models, including game theory and multi-agent artificial intelligence models, and artificial neural networks. General use case examples are provided, and considerations for future research are discussed. We conclude by encouraging scholars interested in religion and related fields to incorporate techniques from the computational science of religion into their collaborative methodological toolkits.
ISSN:2049-7563
Contains:Enthalten in: Journal for the cognitive science of religion
Persistent identifiers:DOI: 10.1558/jcsr.38669