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. 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. 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. 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.

中文翻译：

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基于自适应时间因果网络模型模拟宗教对人类同理心的影响。

宗教是世界各地许多人生活的核心方面，它对人类行为的影响已从许多不同的角度进行了广泛的研究。目前的研究将这些观点整合到一个自适应时间因果网络模型中，该模型描述了所涉及的心理状态、它们的相互关系，以及由于学习而随着时间的推移对其中一些关系的适应。通过首先基于文献开发网络模型的概念表示，然后将该模型形式化为数值表示，可以对几乎任何类型的宗教和人进行模拟，显示具有不同宗教背景和性格的人的不同行为。重点主要是宗教对人类同理心和非同理心的影响，这是一个今天非常相关的话题。开发的模型可能对许多用途有价值，包括支持更好地理解甚至预测宗教人士的行为。基于个人和宗教的不同特征，它针对许多不同的场景进行了说明。