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With a Little Help: A Modeling Environment for Self-modeling Network Models

  • Jan Treur*
  • *Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingChapterAcademicpeer-review

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Abstract

The concept of self-modeling 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 self-modeling network engine. It uses as input role matrices specifying in a standardised and compact form the characteristics for the designed network model. Based on this input, the computational self-modeling 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 and how to use it is described in more detail.

Original languageEnglish
Title of host publicationMental Models and their Dynamics, Adaptation and Control
Subtitle of host publicationA Self-Modeling Network Modeling Approach
EditorsJan Treur, Laila Van Ments
PublisherSpringer Nature Switzerland AG
Chapter17
Pages467-489
Number of pages23
ISBN (Electronic)9783030858216
ISBN (Print)9783030858209
DOIs
Publication statusPublished - 2022

Publication series

NameStudies in Systems, Decision and Control
Volume394
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Modeling environment
  • Role matrix
  • Self-modeling network
  • Template

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