Computational Analysis of the Adaptive Causal Relationships between Cannabis, Anxiety and Sleep

Merijn van Leeuwen, Kirsten Wolthuis, Jan Treur

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 20th International Conference on Computational Science, ICCS'20
PublisherSpringer International Publishing AG
Publication statusAccepted/In press - 25 Mar 2020

Publication series

NameLecture Notes in Computer Science
PublisherSpringer International

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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.