Exploring the dynamics of social organization through computational modeling.
Understanding how complex social structures emerge, persist, and change over time is a fundamental challenge in the study of social systems. This project uses computational simulations to investigate how groups with flexible social bonds can organize themselves into different political forms and how these forms can shift with seasonal changes.
Key scientific questions include:
- How do egalitarian and hierarchical social structures arise and stabilize?
- What mechanisms drive seasonal reversals in political organization?
- How do multiple societies with overlapping territories maintain distinct social rhythms?
- What role does environmental seasonality play in shaping social dynamics?
Our approach employs agent-based simulations that model individuals interacting within multi-patch environments subject to seasonal forcing. This allows us to capture the interplay between individual behaviors, social ties, and external environmental cycles.
The repository is organized as follows:
- Core simulation code and configuration files for running experiments
- Scripts for data analysis and visualization
- Documentation and metadata to ensure reproducibility
- Alignment and project scope details are documented separately in
PROJECT_SUMMARY.md
For a comprehensive overview of the project goals, scope, and alignment, please refer to the PROJECT_SUMMARY.md file, which serves as the authoritative guide.