Computational hypothesis for maturing out of addiction and mindfulness-based cognitive techniques

Yariv Z. Levy*, Dino Levy, Jerrold S. Meyer

*Corresponding author for this work

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


Use and misuse of addictive substances has been an ongoing phenomenon from early civilizations to the present. Experimental observations endorse the implication of a cognitive component during the addictive course. The present investigation proposes a learning mechanism affecting the cognitive level of a multiscale model of addiction. Simulations account for plausible initiations of natural recoveries through non-traditional techniques, such as meditation. This framework suggests that such plasticity mechanism within the cognitive substrate of an addict may be necessary in order for a maturing out experience to begin and possibly endure over time.

Original languageEnglish
Title of host publicationBiologically Inspired Cognitive Architectures 2011 Proceedings of the Second Annual Meeting of the BICA Society
PublisherIOS Press
Number of pages10
ISBN (Print)9781607509585
StatePublished - 2011
Externally publishedYes

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389


  • Cognitive Learning
  • Computational Model
  • Drug Addiction
  • Dynamical System
  • Multiscale
  • Natural Recovery


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