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A software architecture for mechanism-based social systems modelling in agent-based simulation models.

Tuong Manh Vu1, Charlotte Probst2, Alexandra Nielsen3

  • 1School of Health and Related Research, University of Sheffield.

Journal of Artificial Societies and Social Simulation : JASSS
|December 18, 2020
PubMed
Summary
This summary is machine-generated.

This study presents the Mechanism-Based Social Systems Modelling (MBSSM) architecture for agent-based simulations. MBSSM unifies social theories and individual behaviors, enabling robust computational modeling of social phenomena.

Keywords:
abductive reasoningagent-based modellinganalytical sociologysocial simulationsoftware architecture

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Area of Science:

  • Social Sciences
  • Computational Social Science
  • Sociology

Background:

  • Analytical sociology emphasizes middle-range theories to explain social phenomena.
  • Agent-based modeling is a key tool for simulating complex social dynamics.
  • Integrating diverse social theories into computational models presents significant challenges.

Purpose of the Study:

  • To introduce the Mechanism-Based Social Systems Modelling (MBSSM) software architecture.
  • To provide a unified framework for expressing and implementing social theory mechanisms within agent-based models.
  • To facilitate the comparison and integration of different social theories.

Main Methods:

  • The MBSSM architecture is designed using object-oriented programming principles and Unified Modelling Language (UML) diagrams.
  • It supports the representation of individual behavior components that drive social mechanisms.
  • Worked examples demonstrate its application in modeling population-level alcohol use dynamics using norm theory and combined norm-role theories.

Main Results:

  • The MBSSM architecture successfully integrates individual behavior mechanisms derived from social theories into agent-based simulations.
  • It provides a computational environment for representing, comparing, and integrating social theories.
  • The architecture enables testing families of theories for their explanatory power regarding concrete social phenomena.

Conclusions:

  • MBSSM offers a powerful computational framework for advancing analytical sociology and agent-based social simulation.
  • It facilitates abductive reasoning by allowing systematic testing of theoretical explanations for social dynamics.
  • The architecture supports the development of more sophisticated and integrated models of social behavior and systems.