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A Temporal-Causal Network Model for the Relation Between Religion and Human Empathy

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Complex Networks & Their Applications V (COMPLEX NETWORKS 2016 2016)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 693))

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Abstract

Religion has been extensively studied from many different perspectives. The current study aims at integrating a number of these perspectives into one computational network model. By first developing a conceptual temporal-causal network model based on literature, and then formalizing this model into a numerical network model, simulations can be done for almost any kind of religious person, showing different behaviours for persons with different religious backgrounds and characters. The focus was mainly on the influence of religion on human empathy and disempathy, a topic very relevant today.

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Correspondence to Laila van Ments or Jan Treur .

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van Ments, L., Roelofsma, P., Treur, J. (2017). A Temporal-Causal Network Model for the Relation Between Religion and Human Empathy. In: Cherifi, H., Gaito, S., Quattrociocchi, W., Sala, A. (eds) Complex Networks & Their Applications V. COMPLEX NETWORKS 2016 2016. Studies in Computational Intelligence, vol 693. Springer, Cham. https://doi.org/10.1007/978-3-319-50901-3_5

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  • DOI: https://doi.org/10.1007/978-3-319-50901-3_5

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  • Publisher Name: Springer, Cham

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