Gregarious Behavior, Human Colonization and Social Differentiation: An Agent-Based Model

S. Fajardo, G. Hofstede, M. D. Vries, M. Kramer, Andrés Bernal
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引用次数: 1

Abstract

Studies of colonization processes in past human societies often use a standard population model in which population is represented as a single quantity. Real populations in these processes, however, are structured with internal classes or stages, and classes are sometimes created based on social differentiation. In this present work, information about the colonization of old Providence Island was used to create an agent-based model of the colonization process in a heterogeneous environment for a population with social differentiation. Agents were socially divided into two classes and modeled with dissimilar spatial clustering preferences. The model and simulations assessed the importance of gregarious behavior for colonization processes conducted in heterogeneous environments by socially-differentiated populations. Results suggest that in these conditions, the colonization process starts with an agent cluster in the largest and most suitable area. The spatial distribution of agents maintained a tendency toward randomness as simulation time increased, even when gregariousness values increased. The most conspicuous effects in agent clustering were produced by the initial conditions and behavioral adaptations that increased the agent capacity to access more resources and the likelihood of gregariousness. The approach presented here could be used to analyze past human colonization events or support long-term conceptual design of future human colonization processes with small social formations into unfamiliar and uninhabited environments.
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群居行为、人类殖民和社会分化:一个基于主体的模型
对过去人类社会殖民化过程的研究通常使用标准人口模型,其中人口被表示为单个数量。然而,在这些过程中的真实人口是由内部阶级或阶段构成的,而阶级有时是基于社会差异而产生的。在本研究中,我们利用旧普罗维登斯岛的殖民化信息,建立了一个基于主体的模型,来描述具有社会分化的人口在异质环境下的殖民化过程。代理被社会划分为两类,并以不同的空间聚类偏好建模。该模型和模拟评估了社会分化种群在异质环境中进行的殖民化过程中群居行为的重要性。结果表明,在这些条件下,定植过程从最大和最合适的区域开始。随着模拟时间的增加,智能体的空间分布保持随机性的趋势,即使在群居性值增加的情况下也是如此。在智能体聚类中,最显著的影响是初始条件和行为适应,它们增加了智能体获取更多资源的能力和群居性的可能性。本文提出的方法可用于分析过去的人类殖民事件,或支持未来人类殖民过程的长期概念性设计,这些过程将以小型社会形态进入不熟悉和无人居住的环境。
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