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

Yariv Z. Levy; Dino Levy; Jerrold S. Meyer

doi:10.3233/978-1-60750-959-2-222

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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 language	English
Title of host publication	Biologically Inspired Cognitive Architectures 2011 Proceedings of the Second Annual Meeting of the BICA Society
Publisher	IOS Press BV
Pages	222-231
Number of pages	10
ISBN (Print)	9781607509585
DOIs	https://doi.org/10.3233/978-1-60750-959-2-222
State	Published - 2011
Externally published	Yes

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	233

Keywords

Cognitive Learning
Computational Model
Drug Addiction
Dynamical System
Multiscale
Natural Recovery

All Science Journal Classification (ASJC) codes

Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3233/978-1-60750-959-2-222

Cite this

Levy, Y. Z., Levy, D., & Meyer, J. S. (2011). Computational hypothesis for maturing out of addiction and mindfulness-based cognitive techniques. In Biologically Inspired Cognitive Architectures 2011 Proceedings of the Second Annual Meeting of the BICA Society (pp. 222-231). (Frontiers in Artificial Intelligence and Applications; Vol. 233). IOS Press BV. https://doi.org/10.3233/978-1-60750-959-2-222

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doi = "10.3233/978-1-60750-959-2-222",

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Levy, YZ, Levy, D & Meyer, JS 2011, Computational hypothesis for maturing out of addiction and mindfulness-based cognitive techniques. in Biologically Inspired Cognitive Architectures 2011 Proceedings of the Second Annual Meeting of the BICA Society. Frontiers in Artificial Intelligence and Applications, vol. 233, IOS Press BV, pp. 222-231. https://doi.org/10.3233/978-1-60750-959-2-222

Computational hypothesis for maturing out of addiction and mindfulness-based cognitive techniques. / Levy, Yariv Z.; Levy, Dino; Meyer, Jerrold S.
Biologically Inspired Cognitive Architectures 2011 Proceedings of the Second Annual Meeting of the BICA Society. IOS Press BV, 2011. p. 222-231 (Frontiers in Artificial Intelligence and Applications; Vol. 233).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Meyer, Jerrold S.

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N2 - 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.

AB - 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.

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KW - Drug Addiction

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T3 - Frontiers in Artificial Intelligence and Applications

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BT - Biologically Inspired Cognitive Architectures 2011 Proceedings of the Second Annual Meeting of the BICA Society

PB - IOS Press BV

ER -

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

Abstract

Publication series

Keywords

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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