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Modelling the effect of religion on human empathy based on an adaptive temporal-causal network model
Laila van Ments1, Peter Roelofsma2, Jan Treur1
11Behavioural Informatics Group, Department of Computer Science, Vrije Universiteit Amsterdam, De Boelelaan 1081, 1081 HV Amsterdam, The Netherlands.
Computational Social Networks
|January 26, 2018
Summary
This study introduces a network model to understand how religion influences behavior, particularly empathy and dis-empathy. The model simulates diverse religious and personal characteristics to predict individual actions.
Area of Science:
- Computational social science
- Psychology of religion
- Network modeling
Background:
- Religion significantly impacts global individual behavior.
- Previous research explored religious influence from various viewpoints.
Purpose of the Study:
- To integrate diverse perspectives on religion's influence on behavior.
- To develop an adaptive temporal-causal network model for simulating religious individuals' mental states and behaviors.
Main Methods:
- Developed a conceptual network model from existing literature.
- Formalized the model into a numerical representation for simulations.
- Focused on religion's impact on empathy and dis-empathy.
Main Results:
- Simulations allow for diverse applications across religions and individuals.
- Model demonstrates varied behaviors based on religious background and personality.
- Highlighted the influence of religion on empathy and dis-empathy dynamics.
Conclusions:
- The network model aids in understanding and predicting religious individuals' behavior.
- Model applicability is shown through various simulated scenarios.
- Offers insights into the complex interplay between religion, personality, and behavior.
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