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 language | English |
|---|---|
| Pages (from-to) | 71-82 |
| Number of pages | 12 |
| Journal | Procedia Computer Science |
| Volume | 213 |
| Issue number | C |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 13th 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 2022 → 25 Sept 2022 |
Keywords
- adaptive computational model
- multilevel organisational learning
- project-based organisation
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