Javascript must be enabled for the correct page display

Modelling Implicit Learning of Temporal Relations

Thiel, Aaron (2023) Modelling Implicit Learning of Temporal Relations. Master's Thesis / Essay, Computational Cognitive Science.


Download (2MB) | Preview
[img] Text
Restricted to Registered users only

Download (130kB)


Awareness of time passing between events informs our perception of our environment. While much research exists on how it guides daily decisions, it is not as clear how humans learn temporal relations in the first place. As such, this thesis focuses on integrating theories on temporal relations with existing models of implicit learning. The aim is to implement a formal cognitive model that includes temporal cues and allows for discriminate learning and transference. A first attempt at such a model is made, and an experiment is conducted to collect additional required data. The experiment involved participants playing an anticipation-based video game to capture under which conditions awareness of temporal relations leads to increased performance over time. The insight gained from the experiment is limited, but potential problems and future steps are discussed.

Item Type: Thesis (Master's Thesis / Essay)
Supervisor name: Rij-Tange, J.C. van and Taatgen, N.A.
Degree programme: Computational Cognitive Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 11 Sep 2023 14:03
Last Modified: 11 Sep 2023 14:03

Actions (login required)

View Item View Item