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Agent-Based Modelling of Primitive Human Communities

机译:基于代理的原始人类社区建模

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The task of tracing what underlies the transition from kinship tribes to nation states continues to remain an important challenge for interdisciplinary study. Multi-agent simulation can shed light on these evolutionary processes by examining the emergent social behaviour that arises from individual agent interactions. In this paper, we build a model based on existing observational and simulation studies of pre-contact Pacific Island hunter-gatherer societies. Starting with the simple tribal structure, we examine how different societies' structures were affected by various characteristics and strategies of their chiefs. Our model represents the influence of societies' structure on how agents fulfil their basic needs and the consequences of an agent's action on both short term and long term society's survival. The evolving societal structures of the model have long-term effects on wealth inequality and whether the society grows or collapses. The results of an extensive model exploration encourage the idea that significantly different outcomes in social welfare do not necessarily require massive changes to all the agents, but can be achieved by relatively moderate modifications in social structure and the governance of societies.
机译:追踪从亲属部落向民族国家过渡的基础的任务仍然是跨学科研究的重要挑战。多主体仿真可以通过检查由个体代理互动产生的新兴社会行为,来阐明这些进化过程。在本文中,我们建立在现有的接触前太平洋岛屿猎人-采集者协会的观察和模拟研究的基础上的模型。从简单的部落结构开始,我们考察了不同社会结构如何受到其酋长的各种特征和策略的影响。我们的模型代表了社会结构对代理人如何满足其基本需求的影响,以及代理人的行为对短期和长期社会生存的影响。该模型不断发展的社会结构对财富不平等以及社会的成长与瓦解具有长期影响。广泛的模型探索的结果鼓舞了这样一种观点,即社会福利中的显着不同的结果并不一定需要对所有主体进行大规模的改变,而是可以通过相对适度地改变社会结构和社会治理来实现的。

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