Self-organized togetherness in a crowd group

K. Zia, S. Madani, S. N. Aslam, A. Ferscha
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Abstract

Self-organization is a computing paradigm in which participating entities proceed to execute a global goal strictly based on local information. In population dynamics, the sense of togetherness (due to social bindings or a common confinement) experienced by a group of individuals (i.e. 'crowd group') is an interesting phenomenon to explore in the context of self-organization. Given a mechanism supporting spatial awareness, many settings require individuals belonging to a group, not only, to stay together (togetherness), but also to account for personal goals (dispersion). Self-organization can help individuals within such a group to stay together and having dispersed at the same time, togetherness being the primary requirement. In this paper, we discussed the parameters defining togetherness and dispersion within a spatially aware crowd group. In this context, the factors affecting the interplay between togetherness and dispersion were examined and maximum tolerable limits of dispersion were tailored in diverse settings of collaboration range, number of individuals willing to diverge and density of a crowd group. Simulation results provide insight into the interplay between these parameters, hence resolving operational dependencies.
在人群中自组织的团结
自组织是一种计算范式,在这种范式中,参与实体严格地基于局部信息执行全局目标。在人口动力学中,一群个体(如:个体)所经历的团结感(由于社会约束或共同限制)。在自组织的背景下,“群体”是一个有趣的现象。考虑到支持空间意识的机制,许多环境要求个体属于一个群体,不仅要呆在一起(团结),而且要考虑个人目标(分散)。自组织可以帮助这样一个群体中的个体保持在一起,同时分散,团结是主要的要求。在本文中,我们讨论了在空间感知的人群群体中定义聚集性和离散性的参数。在此背景下,研究人员考察了影响聚在一起和分散之间相互作用的因素,并根据不同的协作范围、愿意分散的个人数量和群体密度,量身定制了分散的最大可容忍限度。模拟结果提供了对这些参数之间相互作用的洞察,从而解决了操作依赖性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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