ABSTRACT Migration transition occurring in artificial agent societies is one of the vital transitions which is responsible for their development and growth in addition to fertility and mortality transitions occurring in them. The migration transition introduces while its realisation, into a society or societies, a set of macro, micro, and meso-level dynamics depending upon whether migration process is realised externally (at inter-societal level), internally (at intra-societal level), or at coalition (group level). In this paper, a set of software measurements (called migration metrics) are proposed to measure the complexity and dynamics existing in the vital migration transition in artificial agent societies at macro (inter-societal) level. The proposed set of metrics measure the dynamics of migration transition by measuring population distribution, change and structuring during realisation and perpetuation of migration transition in artificial agent societies at run-time. Furthermore, a set of dynamic software measurements (called population metrics) are proposed in this paper, which is used to measure the population count and complexity of fertility and mortality transitions occurring in artificial agent societies. The above-proposed sets of metric suites are then verified and validated by using case studies modelled in a dual-unit artificial world in NetLogo.

中文翻译：

---

衡量迁移过渡的复杂性：使用指标的尝试

摘要 人工代理社会中发生的迁移转变是重要的转变之一，除了发生在其中的生育率和死亡率转变之外，它也是负责其发展和增长的重要转变之一。移民转型在实现的同时，将一系列宏观、微观和中观层面的动态引入一个或多个社会，这取决于移民过程是在外部（在社会间层面）还是在内部（在社会内部层面）实现，或在联盟（组级别）。在本文中，提出了一组软件度量（称为迁移度量），以衡量宏观（社会间）层面人工代理社会重要迁移转型中存在的复杂性和动态性。拟议的一组指标通过在运行时测量人工代理社会中迁移过渡的实现和持续过程中的人口分布、变化和结构来衡量迁移过渡的动态。此外，本文提出了一组动态软件测量（称为人口指标），用于测量人工代理社会中发生的生育率和死亡率转变的人口数量和复杂性。然后通过使用在 NetLogo 中的双单元人工世界中建模的案例研究来验证和验证上述建议的度量套​​件集。本文提出了一组动态软件测量（称为人口度量），用于测量人工代理社会中发生的生育率和死亡率转变的人口数量和复杂性。然后通过使用在 NetLogo 中的双单元人工世界中建模的案例研究来验证和验证上述建议的度量套​​件集。本文提出了一组动态软件测量（称为人口度量），用于测量人工代理社会中发生的生育率和死亡率转变的人口数量和复杂性。然后通过使用在 NetLogo 中的双单元人工世界中建模的案例研究来验证和验证上述建议的度量套​​件集。