Modelling terror management theory: computer simulations of the impact of mortality salience on religiosity

This article outlines the development - and reports on the experimental findings - of two computational models designed to simulate the dynamic systems and behavioural patterns identified and clarified by research on terror management theory. The causal architectures of these models are informed by...

Description complète

Enregistré dans:  
Détails bibliographiques
Auteurs: Shults, F. LeRon (Auteur) ; Lane, Justin E. (Auteur) ; Wildman, Wesley J. (Auteur) ; Diallo, Saikou (Auteur) ; Lynch, Christopher J. (Auteur) ; Gore, Ross (Auteur)
Type de support: Électronique Article
Langue:Anglais
Vérifier la disponibilité: HBZ Gateway
Journals Online & Print:
En cours de chargement...
Fernleihe:Fernleihe für die Fachinformationsdienste
Publié: Routledge 2018
Dans: Religion, brain & behavior
Année: 2018, Volume: 8, Numéro: 1, Pages: 77-100
Sujets non-standardisés:B agent-based model
B Rituel
B system-dynamics model
B Computer Simulation
B Religion
B terror management theory
B Cognition
B multi-agent AI
B Religiosity
Accès en ligne: Volltext (lizenzpflichtig)
Description
Résumé:This article outlines the development - and reports on the experimental findings - of two computational models designed to simulate the dynamic systems and behavioural patterns identified and clarified by research on terror management theory. The causal architectures of these models are informed by empirical research on the effects of mortality salience on "religiosity" (and vice versa). They are also informed by research on the way in which perception of personal and environmental hazards activate evolved cognitive and coalitional precautionary systems that can intensify anxiety-alleviating behaviours such as imaginative engagement with supernatural agents postulated within a religious coalition. The capacity of the models to produce emergent patterns and behaviours that are similar to the results of other empirical studies supports the plausibility of their causal architectures. After tracing some of the literature that supports the causal dynamics of our models, we present the two models, describe the experiments, and report the results. We conclude by discussing the importance of the findings, the limitations of the models, and directions for future research.
ISSN:2153-5981
Contient:Enthalten in: Religion, brain & behavior
Persistent identifiers:DOI: 10.1080/2153599X.2016.1238846