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A review of mathematical modeling of addiction regarding both (neuro-) psychological processes and the social contagion perspectives

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ADDICTIVE BEHAVIORS
卷 127, 期 -, 页码 -

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PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.addbeh.2021.107201

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Computational modeling; Addiction; Dynamical systems; Agent-based modeling; Formal theories; Review

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This paper reviews and categorizes formal models of addiction, including psychological and social models. The authors argue that these models are too disjointed and recommend integrating intra- and inter-individual factors to unravel the complexities of addiction.
Addiction is a complex biopsychosocial phenomenon, impacted by biological predispositions, psychological processes, and the social environment. Using mathematical and computational models that allow for surrogative reasoning may be a promising avenue for gaining a deeper understanding of this complex behavior. This paper reviews and classifies a selection of formal models of addiction focusing on the intra- and inter-individual dynamics, i.e., (neuro) psychological models and social models. We find that these modeling approaches to addiction are too disjoint and argue that in order to unravel the complexities of biopsychosocial processes of addiction, models should integrate intra- and inter-individual factors.

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