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Chair: Shingo Takahashi

Social simulation with agent-based modeling can be considered as developments of, and sometimes challenges to, social systems sciences. We intend in this track to provide both social scientists and computational researchers as well as systems researchers with an opportunity to discuss various types of problems found in this developing field.

We aim to promote agent-based social systems sciences, social simulation, and new tools and techniques for social systems education as well as research.

The topics include, but are not limited to, the following computational social systems science approaches and issues:

  • Methodologies for Agent-based Modeling
  • Applications of Agent-based Modeling
  • Implications of Agent Based Modeling for Social Theory
  • Validation Techniques
  • Computational Organization Theory
  • Evidence Based Social Simulation
  • Social Simulation and Laboratory Experiment
  • Hybrid Gaming Simulation
  • Collective Intelligence
  • Social Complexity
  • Social policies
  • Integrated social/physical modeling for environmental policy formation
  • Emergence of social structures and norms
  • Social simulation and software design
  • Advanced computing technologies (e.g. the grid) and social simulation

Presentation Format: 15-20 minutes presentation, 10 minutes questions.

See other Special Integration Groups

sig_on_agent-based_social_simulation.txt · Last modified: 2020/07/27 15:38 (external edit)