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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Publié dans:Journal for the cognitive science of religion
Auteurs: Lane, Justin (Auteur) ; Shults, Fount LeRon 1965- (Auteur)
Type de support: Électronique Article
Langue:Anglais
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Publié: Equinox Publ. [2021]
Dans: Journal for the cognitive science of religion
Sujets / Chaînes de mots-clés standardisés:B Modelage / Dynamique des systèmes / Théorie du jeu / Intelligence artificielle / Réseau neuronal / Méthode / Science des religions
RelBib Classification:AA Sciences des religions
AE Psychologie de la religion
NCJ Science et éthique
Sujets non-standardisés:B Simulation
B system dynamic model
B Artificial Intelligence
B Natural Language Processing
B Religion
B agentbased model
B computer modelling
Accès en ligne: Volltext (Verlag)
Volltext (doi)
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Résumé: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
Contient:Enthalten in: Journal for the cognitive science of religion
Persistent identifiers:DOI: 10.1558/jcsr.38669