Akrum, Ivana (2022) From Knowledge Graph to Cognitive Model: A Method for Identifying Task Skills. Master's Thesis / Essay, Computational Cognitive Science.
|
Text
mCCS_2022_AkrumIDM.pdf Download (3MB) | Preview |
|
![[img]](https://fse.studenttheses.ub.rug.nl/style/images/fileicons/text.png) |
Text
Toestemming.pdf Restricted to Registered users only Download (122kB) |
Abstract
When we learn new tasks, rather than starting from scratch, we often reuse skills that we have learned previously. By integrating these previously learned skills in a new way, we can learn how to do new tasks with little effort. In this research, I test a method aimed at identifying the skills reused between tasks. More specifically, I use a knowledge graph as a tool for identifying reused skills. From this knowledge graph, I built a cognitive model that shows how the identified skills can be integrated to solve a new task. The final cognitive model could successfully solve a variety of related but distinct tasks. This shows it is possible to use knowledge graphs to identify the skills reused between tasks. This ability could have far-reaching implications: Knowing, in advance, the skills needed to successfully complete a new task may allow us to learn said task in an easier, more focused manner. Although the validity of the described method should be further examined, the method provides a promising step towards revolutionising education and how we approach learning.
| Item Type: | Thesis (Master's Thesis / Essay) |
|---|---|
| Supervisor name: | Taatgen, N.A. and Hoekstra, C. |
| Degree programme: | Computational Cognitive Science |
| Thesis type: | Master's Thesis / Essay |
| Language: | English |
| Date Deposited: | 19 Jul 2022 10:39 |
| Last Modified: | 19 Jul 2022 10:39 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/28034 |
Actions (login required)
 |
View Item |