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A Software Architecture for Mechanism-Based Social Systems Modelling in Agent-Based Simulation Models

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This paper introduces the MBSSM (Mechanism-Based Social Systems Modelling) software architecture that is designed for expressing mechanisms of social theories with individual behaviour components in a unified way and implementing these mechanisms in an agent-based simulation model. The MBSSM architecture is based on a middle-range theory approach most recently expounded by analytical sociology and is designed in the object-oriented programming paradigm with Unified Modelling Language diagrams. This paper presents two worked examples of using the architecture for modelling individual behaviour mechanisms that give rise to the dynamics of population-level alcohol use: a single-theory model of norm theory and a multi-theory model that combines norm theory with role theory. The MBSSM architecture provides a computational environment within which theories based on social mechanisms can be represented, compared, and integrated. The architecture plays a fundamental enabling role within a wider simulation model-based framework of abductive reasoning in which families of theories are tested for their ability to explain concrete social phenomena.

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  • Tuong Manh Vu & Charlotte Probst & Alexandra Nielsen & Hao Bai & Petra S. Meier & Charlotte Buckley & Mark Strong & Alan Brennan & Robin C. Purshouse, 2020. "A Software Architecture for Mechanism-Based Social Systems Modelling in Agent-Based Simulation Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 23(3), pages 1-1.
    • Handle: RePEc:jas:jasssj:2019-90-2
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    1. Kuntsche, Sandra & Knibbe, Ronald A. & Gmel, Gerhard, 2009. "Social roles and alcohol consumption: A study of 10 industrialised countries," Social Science & Medicine, Elsevier, vol. 68(7), pages 1263-1270, April.
    2. van der Vaart, Elske & Beaumont, Mark A. & Johnston, Alice S.A. & Sibly, Richard M., 2015. "Calibration and evaluation of individual-based models using Approximate Bayesian Computation," Ecological Modelling, Elsevier, vol. 312(C), pages 182-190.
    3. Grazzini, Jakob & Richiardi, Matteo G. & Tsionas, Mike, 2017. "Bayesian estimation of agent-based models," Journal of Economic Dynamics and Control, Elsevier, vol. 77(C), pages 26-47.
    4. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    5. Riccardo Boero & Flaminio Squazzoni, 2005. "Does Empirical Embeddedness Matter? Methodological Issues on Agent-Based Models for Analytical Social Science," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 8(4), pages 1-6.
    6. Mathieu Bourgais & Patrick Taillandier & Laurent Vercouter & Carole Adam, 2018. "Emotion Modeling in Social Simulation: A Survey," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(2), pages 1-5.
    7. Knibbe, R. A. & Drop, M. J. & Muytjens, A., 1987. "Correlates of stages in the progression from everyday drinking to problem drinking," Social Science & Medicine, Elsevier, vol. 24(5), pages 463-473, January.
    8. Becker, Gary S & Murphy, Kevin M, 1988. "A Theory of Rational Addiction," Journal of Political Economy, University of Chicago Press, vol. 96(4), pages 675-700, August.
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    1. Jennifer Boyd & Clare Bambra & Robin C. Purshouse & John Holmes, 2021. "Beyond Behaviour: How Health Inequality Theory Can Enhance Our Understanding of the ‘Alcohol-Harm Paradox’," IJERPH, MDPI, vol. 18(11), pages 1-12, June.
    2. Hazel Squires & Michael P. Kelly & Nigel Gilbert & Falko Sniehotta & Robin C. Purshouse, 2023. "The long‐term effectiveness and cost‐effectiveness of public health interventions; how can we model behavior? A review," Health Economics, John Wiley & Sons, Ltd., vol. 32(12), pages 2836-2854, December.

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