R8-[CSpace] - Overview

Cognitive Space


Our objective is to develop a computational model and a formal theory of cognitive complexity in spatial relational reasoning and spatial planning tasks. This requires a multi-methodological approach to identify (1) spatial representations and (2) mental operations involved in spatial reasoning and planning. To do so, we conduct eye-tracking and fMRI experiments with interesting spatial tasks, such as Tower of London and Rushhour, as well as deductive reasoning problems. Performance predictions are derived from cognitive models based on the cognitive architecture ACT-R. Behavioural, eye tracking, and neural data are used to improve the cognitive models and to refine and extend the ACT-R architecture. Overall, our findings will contribute to an extended and adapted computational theory about cognitive complexity in human reasoning.