Social simulations gain strength when agent behaviour can (1) represent human behaviour and (2) be explained in understandable terms. Agents with values and norms lead to simulation results that meet human needs for explanations, but have not been tested on their ability to reproduce human behaviour. This paper compares empirical data on human behaviour to simulated data on agents with values and norms in a psychological experiment on dividing money: the ultimatum game. We find that our agent model with values and norms produces aggregate behaviour that falls within the 95% confidence interval wherein human behaviour lies more often than other tested agent models. A main insight is that values serve as a static component in agent behaviour, whereas norms serve as a dynamic component.

中文翻译：

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社会模拟中的价值观和规范的价值

当代理人行为可以（1）代表人类行为并且（2）用可理解的术语进行解释时，社会模拟会获得力量。具有价值和规范的主体所产生的模拟结果可以满足人类对解释的需求，但是尚未经过模拟来再现其人类行为的能力。本文将关于人类行为的经验数据与关于具有价值和规范的行为者的模拟数据进行了一项关于金钱分割的心理实验：最后通game博弈。我们发现，具有价值和规范的主体模型产生的总体行为落在95％置信区间内，其中人的行为比其他经过测试的主体模型更常见。一个主要的见解是，价值是代理行为的静态组成部分，而规范则是动态的组成部分。