The Interplay between Craving and Impulse Control: An Adaptive Network Model for Drug Addiction Treatment

Melissa Köhler; Sander Siepel; Jan Treur

doi:10.1016/j.procs.2021.06.059

The Interplay between Craving and Impulse Control: An Adaptive Network Model for Drug Addiction Treatment

Melissa Köhler, Sander Siepel, Jan Treur^*

^*Corresponding author for this work

Computer Science

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

This study introduces an adaptive causal network model of the effects of treatment on drug consumption in the case of addiction. Different factors are included that have been found to affect drug consumption and are impacted by addiction treatments. To prove the validity of the model, a number of example scenarios are presented that simulate treatments of different lengths and comprehensiveness. In addition, validation was supported by parameter tuning, and verification was performed by mathematically verifying stationary points for simulations of the model.

Original language	English
Pages (from-to)	508-520
Number of pages	13
Journal	Procedia Computer Science
Volume	190
Early online date	22 Jul 2021
DOIs	https://doi.org/10.1016/j.procs.2021.06.059
Publication status	Published - 2021
Event	2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence: Eleventh Annual Meeting of the BICA Society, BICA*AI 2020 - Natal, Rio Grande do Norte, Brazil Duration: 10 Nov 2020 → 15 Nov 2020

Bibliographical note

Special issue: 2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence: Eleventh Annual Meeting of the BICA Society. Edited by Alexei V. Samsonovich, Valentin V. Klimov.

Publisher Copyright:
© 2020 Elsevier B.V.. All rights reserved.

Keywords

adaptive network model
addiction
drug intake;treatment

UN SDGs

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

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10.1016/j.procs.2021.06.059

https://www.researchgate.net/publication/348034718Licence: Unspecified

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title = "The Interplay between Craving and Impulse Control: An Adaptive Network Model for Drug Addiction Treatment",

abstract = "This study introduces an adaptive causal network model of the effects of treatment on drug consumption in the case of addiction. Different factors are included that have been found to affect drug consumption and are impacted by addiction treatments. To prove the validity of the model, a number of example scenarios are presented that simulate treatments of different lengths and comprehensiveness. In addition, validation was supported by parameter tuning, and verification was performed by mathematically verifying stationary points for simulations of the model.",

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AU - Köhler, Melissa

AU - Siepel, Sander

AU - Treur, Jan

N1 - Special issue: 2020 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence: Eleventh Annual Meeting of the BICA Society. Edited by Alexei V. Samsonovich, Valentin V. Klimov. Publisher Copyright: © 2020 Elsevier B.V.. All rights reserved.

PY - 2021

Y1 - 2021

N2 - This study introduces an adaptive causal network model of the effects of treatment on drug consumption in the case of addiction. Different factors are included that have been found to affect drug consumption and are impacted by addiction treatments. To prove the validity of the model, a number of example scenarios are presented that simulate treatments of different lengths and comprehensiveness. In addition, validation was supported by parameter tuning, and verification was performed by mathematically verifying stationary points for simulations of the model.

AB - This study introduces an adaptive causal network model of the effects of treatment on drug consumption in the case of addiction. Different factors are included that have been found to affect drug consumption and are impacted by addiction treatments. To prove the validity of the model, a number of example scenarios are presented that simulate treatments of different lengths and comprehensiveness. In addition, validation was supported by parameter tuning, and verification was performed by mathematically verifying stationary points for simulations of the model.

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KW - addiction

KW - drug intake;treatment

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Y2 - 10 November 2020 through 15 November 2020

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The Interplay between Craving and Impulse Control: An Adaptive Network Model for Drug Addiction Treatment

Abstract

Bibliographical note

Keywords

UN SDGs

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