Computational Modeling of Organisational Learning by Self-Modeling Networks

Gülay Canbaloğlu, Jan Treur, Peter Roelofsma

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

A video presentation of this paper can be found at the YouTube Self-Modeling Networks channel at https://www.youtube.com/watch?v=StRGmqY0QD0. Within organisational learning literature, mental models are considered a vehicle for both individual learning and organizational learning. By learning individual mental models (and making them explicit), a basis for formation of shared mental models for the level of the organization is created, which after its formation can then be adopted by individuals. This provides mechanisms for organizational learning. These mechanisms have been used as a basis for an adaptive computational network model. The model is illustrated by a not too complex but realistic case study.
Original languageEnglish
Pages (from-to)51-64
Number of pages14
JournalCognitive Systems Research
Volume73
Early online date26 Dec 2021
DOIs
Publication statusPublished - Jun 2022

Bibliographical note

Publisher Copyright:
© 2022 The Authors

Keywords

  • Control of adaptation
  • Mental model
  • Network model
  • Organisational learning
  • Second-order adaptive

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