Multilevel organisational learning in a project-based organisation: Computational analysis based on a 3rd-order adaptive network model

Gülay Canbaloglu, Jan Treur, Anna Wiewiora

Research output: Contribution to journalConference articleScientificpeer-review

1 Citation (Scopus)
18 Downloads (Pure)

Abstract

This paper describes how the recently developed self-modeling network modeling approach for multilevel organisational learning has been tested on applicability for a real-world case of a project-based organisation. The modeling approach was able to successfully address this complex case by designing a third-order adaptive network model. Doing this, as a form of further innovation three new features have been added to the modeling approach: Recombination of selected high-quality mental model parts, refinement of mental model parts, and distinction between context-sensitive detailed control and global control.
Original languageEnglish
Pages (from-to)71-82
Number of pages12
JournalProcedia Computer Science
Volume213
Issue numberC
DOIs
Publication statusPublished - 2022
Event13th Annual Meeting of the BICA Society: 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, BICA*AI 2022 - Guadalajara, Mexico
Duration: 22 Sept 202225 Sept 2022

Keywords

  • adaptive computational model
  • multilevel organisational learning
  • project-based organisation

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