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Allegra A Beal Cohen1, Rachata Muneepeerakul2, Gregory Kiker2

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Agent-based models (ABMs) often fail to capture social complexities. This study introduces a new framework focusing on intra-group dynamics, showing improved replication of phenomena like women's empowerment in agriculture.

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Area of Science:

  • Social Sciences
  • Computational Social Science
  • Agent-Based Modeling

Background:

  • Agent-based models (ABMs) often simplify social systems by modeling groups as basic units.
  • This simplification overlooks crucial intra-group dynamics that can lead to inefficient or unexpected large-scale behaviors.
  • Functional groups like households significantly influence social phenomena but are often inadequately represented in existing models.

Purpose of the Study:

  • To introduce a novel framework for modeling intra-group decision-making and its interaction with social norms.
  • To utilize the household as a focused case study for intra-group dynamics.
  • To demonstrate the framework's capability in replicating complex social phenomena, specifically those related to women's empowerment in agriculture.

Main Methods:

  • Development of a new agent-based modeling framework incorporating detailed intra-group decision-making processes.
  • Integration of social norms within the household decision-making model.
  • Comparative analysis of the proposed framework against two common types of ABMs using empirical examples.

Main Results:

  • The developed framework demonstrated a superior ability to replicate phenomena influenced by intra-household dynamics and gender norms.
  • The model successfully captured complexities in women's empowerment in agriculture, which were not adequately explained by simpler ABM approaches.
  • Results highlight the limitations of treating groups as monolithic entities in large-scale social simulations.

Conclusions:

  • Modeling intra-scale dynamics within functional groups is essential for accurately explaining complex social behaviors.
  • Multi-scale models require a deeper focus on the internal workings of social units, not just their interactions.
  • The proposed framework offers a more nuanced approach to simulating social systems, particularly concerning gender and household decision-making.