The Effects of Information on the Formation of Migration Routes and the Dynamics of Migration

IF 1.6 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Martin Hinsch;Jakub Bijak
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引用次数: 3

Abstract

Most models of migration simply assume that migrants somehow make their way from their point of origin to their chosen destination. We know, however, that—especially in the case of asylum migration—the migrant journey often is a hazardous, difficult process where migrants make decisions based on limited information and under severe material constraints. Here we investigate the dynamics of the migration journey itself using a spatially explicit, agent-based model. In particular we are interested in the effects of limited information and information exchange. We find that under limited information, migration routes generally become suboptimal, their stochasticity increases, and migrants arrive much less frequently at their preferred destination. Under specific circumstances, self-organised consensus routes emerge that are largely unpredictable. Limited information also strongly reduces the migrants’ ability to react to changes in circumstances. We conclude, first, that information and information exchange is likely to have considerable effects on all aspects of migration and should thus be included in future modelling efforts and, second, that there are many questions in theoretical migration research that are likely to profit from the use of agent-based modelling techniques.
信息对迁徙路线形成和迁徙动态的影响
大多数移民模型只是简单地假设移民以某种方式从他们的出发地到达他们选择的目的地。然而,我们知道,特别是在庇护移民的情况下,移民之旅往往是一个危险而艰难的过程,移民在有限的信息和严重的物质限制下做出决定。在这里,我们使用一个空间显式的、基于代理的模型来研究迁移过程本身的动态。我们特别感兴趣的是有限信息和信息交换的影响。我们发现,在信息有限的情况下,移民路线通常变得次优,其随机性增加,移民到达首选目的地的频率大大降低。在特定情况下,出现的自组织共识路线在很大程度上是不可预测的。信息有限也大大降低了移徙者对环境变化作出反应的能力。我们的结论是,首先,信息和信息交换可能对迁移的各个方面产生相当大的影响,因此应该包括在未来的建模工作中;其次,在理论迁移研究中存在许多问题,可能会从使用基于代理的建模技术中获益。
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来源期刊
Artificial Life
Artificial Life 工程技术-计算机:理论方法
CiteScore
4.70
自引率
7.70%
发文量
38
审稿时长
>12 weeks
期刊介绍: Artificial Life, launched in the fall of 1993, has become the unifying forum for the exchange of scientific information on the study of artificial systems that exhibit the behavioral characteristics of natural living systems, through the synthesis or simulation using computational (software), robotic (hardware), and/or physicochemical (wetware) means. Each issue features cutting-edge research on artificial life that advances the state-of-the-art of our knowledge about various aspects of living systems such as: Artificial chemistry and the origins of life Self-assembly, growth, and development Self-replication and self-repair Systems and synthetic biology Perception, cognition, and behavior Embodiment and enactivism Collective behaviors of swarms Evolutionary and ecological dynamics Open-endedness and creativity Social organization and cultural evolution Societal and technological implications Philosophy and aesthetics Applications to biology, medicine, business, education, or entertainment.
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