Skip to main content
Conference ProceedingsOPEN ACCESS

Computational analysis of the adaptive causal relationships between cannabis, anxiety and sleep

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2020) 12137 LNCS 357-370
DOI: 10.1007/978-3-030-50371-0_26
0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.

This article is free to access.

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.

Cite

CITATION STYLE

APA

van Leeuwen, M., Wolthuis, K., & Treur, J. (2020). Computational analysis of the adaptive causal relationships between cannabis, anxiety and sleep. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12137 LNCS, pp. 357–370). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-50371-0_26

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free