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Related Experiment Videos

Endogenizing geopolitical boundaries with agent-based modeling.

Lars-Erik Cederman1

  • 1Department of Government, Weatherhead Center for International Affairs, Harvard University, 1033 Massachusetts Avenue, Cambridge, MA 02138, USA. cederman@cfia.harvard.edu

Proceedings of the National Academy of Sciences of the United States of America
|May 16, 2002
PubMed
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Agent-based modeling overcomes actor reification by simulating macrohistorical transformations. This finite-agent method models dynamic networks and social processes, avoiding fixed actor assumptions for better historical analysis.

Area of Science:

  • Computational Social Science
  • Historical Sociology
  • Agent-Based Modeling

Background:

  • Traditional models often reify actors, assuming stable boundaries.
  • Historical shifts, like the Cold War's end, demonstrate rapid actor transformation.
  • Macrohistorical analysis necessitates endogenous modeling of actor evolution.

Purpose of the Study:

  • To present computational models for tracing macrohistorical actor transformations.
  • To overcome the limitations of actor reification in social science.
  • To analyze dynamic changes in spatial and organizational actor existence.

Main Methods:

  • Utilized REPAST software for computational modeling.
  • Developed dynamic network models with emergent compound actors.

Related Experiment Videos

  • Modeled "tagged" social processes and categorical schemata for national identity.

    • Main Results:

    • Captured organizational domination of territorial states through dynamic networks.
    • Demonstrated how democratic states' behavior relates to categorical traits.
    • Formalized a constructivist notion of national identity using ethnic landscape models.

    Conclusions:

    • The finite-agent method avoids reification by modeling higher-level structures on primitive agents.
    • Enables explicit analysis of actor integration, disintegration, and boundary transformations.
    • Offers a novel approach to understanding macrohistorical processes and social change.