Modeling the Effect of Religion on Human Empathy Based on an Adaptive Temporal-Causal Network Model
| Autor: | Peter H. M. P. Roelofsma, Laila van Ments, Jan Treur |
|---|---|
| Přispěvatelé: | Artificial intelligence, Social AI, Sociology, Computer Science, Network Institute |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
lcsh:T58.5-58.64
lcsh:Information technology Research media_common.quotation_subject 05 social sciences Representation (systemics) 050109 social psychology Empathy lcsh:QA75.5-76.95 Computer Science Applications Focus (linguistics) Human-Computer Interaction 03 medical and health sciences 0302 clinical medicine Modeling and Simulation 0501 psychology and cognitive sciences lcsh:Electronic computers. Computer science Adaptation (computer science) Psychology 030217 neurology & neurosurgery Information Systems Network model media_common Cognitive psychology |
| Zdroj: | Computational Social Networks, 5(1):1, 1-23. Springer Verlag van Ments, L I, Roelofsma, P H M P & Treur, J 2018, ' Modeling the Effect of Religion on Human Empathy Based on an Adaptive Temporal-Causal Network Model ', Computational Social Networks, vol. 5, no. 1, 1, pp. 1-23 . https://doi.org/10.1186/s40649-017-0049-z Computational Social Networks Computational Social Networks, Vol 5, Iss 1, Pp 1-23 (2018) |
| ISSN: | 2197-4314 |
| DOI: | 10.1186/s40649-017-0049-z |
| Popis: | Background Religion is a central aspect of many individuals’ lives around the world, and its influence on human behaviour has been extensively studied from many different perspectives. Methods The current study integrates a number of these perspectives into one adaptive temporal–causal network model describing the mental states involved, their mutual relations, and the adaptation of some of these relations over time due to learning. Results By first developing a conceptual representation of a network model based on the literature, and then formalizing this model into a numerical representation, simulations can be done for almost any kind of religion and 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 dis-empathy, a topic very relevant today. Conclusions The developed model could be valuable for many uses, involving support for a better understanding, and even prediction, of the behaviour of religious individuals. It is illustrated for a number of different scenarios based on different characteristics of the persons and of the religion. |
| Databáze: | OpenAIRE |
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