A modeling environment for reified temporal-causal network models

Jan Treur

doi:10.1007/978-3-030-31445-3_9

A modeling environment for reified temporal-causal network models

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

The introduced multilevel reified (temporal-causal) network architecture is the basis of the implementation of a dedicated software environment developed by the author in Matlab. The environment includes a combination function library and a generic computational reified network engine. It uses role matrices specifying the characteristics for the designed network model as input. Based on this input, the computational reified network engine can be used to generate simulations for the network model, thereby using combination functions from the library. In this chapter, this software environment is described in more detail.

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
Place of Publication	Cham, Switzerland
Publisher	Springer International Publishing AG
Chapter	9
Pages	211-224
Number of pages	14
ISBN (Electronic)	9783030314453
ISBN (Print)	9783030314446
DOIs	https://doi.org/10.1007/978-3-030-31445-3_9
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_9

Treur2020_Chapter_AModelingEnvironmentForReifiedFinal published version, 415 KBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/334586663

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Treur, J. (2020). A modeling environment for reified temporal-causal network models. In J. Treur (Ed.), Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models (pp. 211-224). (Studies in Systems, Decision and Control; Vol. 251). Springer International Publishing AG. https://doi.org/10.1007/978-3-030-31445-3_9

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Treur, J 2020, A modeling environment for reified temporal-causal network models. in J Treur (ed.), Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models. Studies in Systems, Decision and Control, vol. 251, Springer International Publishing AG, Cham, Switzerland, pp. 211-224. https://doi.org/10.1007/978-3-030-31445-3_9

A modeling environment for reified temporal-causal network models. / Treur, Jan.
Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models. ed. / Jan Treur. Cham, Switzerland: Springer International Publishing AG, 2020. p. 211-224 (Studies in Systems, Decision and Control; Vol. 251).

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

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Treur J. A modeling environment for reified temporal-causal network models. In Treur J, editor, Network-Oriented Modeling for Adaptive Networks: Designing Higher-Order Adaptive Biological, Mental and Social Network Models. Cham, Switzerland: Springer International Publishing AG. 2020. p. 211-224. (Studies in Systems, Decision and Control). Epub 2019 Nov 2. doi: 10.1007/978-3-030-31445-3_9

A modeling environment for reified temporal-causal network models

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