Using Network Reification for Adaptive Networks: Discussion

  • Jan TreurEmail author
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 251)


In this final chapter, the most important or most remarkable themes recurring at different places in this book are briefly summarized and reviewed. Subsequently the following themes are addressed: (1) How network reification can be used to model adaptive networks. (2) The formats in which conceptual representations of reified networks are expressed graphically using 3D pictures and role matrices. (3) The universal combination function, and the universal difference and differential equation as the basis for the numerical representation and implementation of reified networks. (4) Analysis of how emerging reified network behaviour relates to the reified network’s structure. (5) The Network-Oriented design process based on reified networks. (6) The relation to longstanding themes in AI and beyond.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Social AI Group, Department of Computer ScienceVrije Universiteit AmsterdamAmsterdamThe Netherlands

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