Using network reification for adaptive networks: Discussion

Jan Treur

doi:10.1007/978-3-030-31445-3_16

Using network reification for adaptive networks: Discussion

Jan Treur^*

^*Corresponding author for this work

Computer Science

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

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Abstract

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.

Original language	English
Title of host publication	Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models
Editors	Jan Treur
Publisher	Springer International Publishing AG
Chapter	16
Pages	405-412
Number of pages	8
ISBN (Electronic)	9783030314453
ISBN (Print)	9783030314446, 9783030314477
DOIs	https://doi.org/10.1007/978-3-030-31445-3_16
Publication status	Published - 2020

Publication series

Name	Studies in Systems, Decision and Control
Volume	251
ISSN (Print)	2198-4182
ISSN (Electronic)	2198-4190

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10.1007/978-3-030-31445-3_16

Treur2020_Chapter_UsingNetworkReificationForAdaptiveNetworksFinal published version, 283 KBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/334586779

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Treur, J. (2020). Using network reification for adaptive networks: Discussion. In J. Treur (Ed.), Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models (pp. 405-412). (Studies in Systems, Decision and Control; Vol. 251). Springer International Publishing AG. https://doi.org/10.1007/978-3-030-31445-3_16

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Using network reification for adaptive networks: Discussion. / Treur, Jan.
Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models. ed. / Jan Treur. Springer International Publishing AG, 2020. p. 405-412 (Studies in Systems, Decision and Control; Vol. 251).

Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review

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Using network reification for adaptive networks: Discussion

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