In this paper a computational model of the effect of caffeine on cortisol and brain activity levels is presented. Using integrative modelling in a temporal-causal network model approach, this paper aims to dynamically model the biological, cognitive and affective processes that are enhanced in the brain while consuming coffee. Firstly, stress stimuli from the individuals’ context conduct an (affective) stressful feeling. Therefore, the individual (cognitive) decides to drink coffee that increases its caffeine levels and makes the individual feel more focused wherefore the individual relaxes. Thirdly, (biologically) it is modeled how caffeine intake by drinking coffee reduces stress levels due to feeling more relaxed.
|Name||Advances in Intelligent Systems and Computing|
|Conference||16th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2019|
|Period||26/06/19 → 28/06/19|
- Integrative temporal-causal network model