In this paper, an adaptive computational temporal-causal network model is presented to analyse the dynamic and adaptive relationships between cannabis usage, anxiety, and sleep. The model has been used to simulate different well-known scenarios varying from intermittent usage to longer periods of usage interrupted by attempts to quit and to constant usage based on full addiction. It is described how the model has been verified and validated by empirical information from the literature.
|Title of host publication||Proceedings of the 20th International Conference on Computational Science, ICCS'20|
|Publisher||Springer International Publishing AG|
|Publication status||Accepted/In press - 25 Mar 2020|
|Name||Lecture Notes in Computer Science|
van Leeuwen, M., Wolthuis, K., & Treur, J. (Accepted/In press). Computational Analysis of the Adaptive Causal Relationships between Cannabis, Anxiety and Sleep. In Proceedings of the 20th International Conference on Computational Science, ICCS'20 (Lecture Notes in Computer Science). Springer International Publishing AG.