社会联系
隐喻
计算机科学
复杂系统
弹性(材料科学)
复杂适应系统
理论计算机科学
认知科学
分布式计算
人工智能
心理学
语言学
物理
哲学
热力学
心理治疗师
作者
Hannah Schrenk,Carlos A. García-Pérez,Nico Schreiber,Wolfgang zu Castell
标识
DOI:10.1016/j.ecolmodel.2021.109860
摘要
We present the QtAC R-package, which enables the analysis and assessment of general complex systems in terms of the adaptive cycle metaphor. According to the metaphor, complex systems typically develop through alternating phases of consolidation and reorganization, being defined by the systemic properties of potential, connectedness, and resilience. QtAC builds on a recently published universal method of quantifying the adaptive cycle. Based on time series of abundance data, networks of information transfer are estimated, yielding insight into the internal interaction structure of the system and the functional role of its components. Potential, connectedness, and resilience are computed on basis of the information networks, defining the system’s course through the cycle. We illustrate the application of QtAC via an exemplary case study on grassland communities.
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