Finding
A new computational model integrating current theories of addiction, which considers addiction as a reversible process and adds explicit time dependency to the inhibition and compulsion processes, presents promising preliminary computational predictions of drug-seeking behavior, but requires additional investigation for validation.
Paper
Drug Addiction: A Computational Multiscale Model Combining Neuropsychology, Cognition and Behavior
Citations: 7
Full textAbstract
According to the United Nations, approximately 24.7 million people used amphetamines, 16 million used cocaine, and 12 million used heroin in 2006/07 [Costa, 2008]. Full recovery from drug addiction by chemical treatment and/or social and psychological support is uncertain. The present investigation was undertaken to expand our understanding of the factors that drive the dynamics of addiction. A new multiscale computational model is presented which integrates current theories of addiction, unlike previous models, considers addiction as a reversible process [Siegelmann, 2008]. Explicit time dependency is added to the inhibition and the compulsion processes. Preliminary computational predictions of drug-seeking behavior are presented and potential correlation with experimental data is discussed. Validation of the model appears promising, however additional investigation is required.
Authors
Yariv Z. Levy, D. Levy, J. Meyer
Journal
Journal name not available for this finding