Abstract
We present a new international project to develop temporally and spatially calibrated agent-based models of the rise and fall of polities in Inner Asia (Central Eurasia) in the past 5,000 years. Gaps in theory, data, and computational models for explaining long-term sociopolitical change—both growth and decay—motivate this project. We expect three contributions: (1) new theoreticallygrounded simulation models validated and calibrated by the best available data; (2) a new long-term cross-cultural database with several data sets; and (3) new conceptual, theoretical, and methodological contributions for understanding social complexity and long-term change and adaptation in real and artificial societies. Our theoretical framework is based on explaining sociopolitical evolution by the process of “canonical variation”.
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Cioffi-Revilla, C. et al. (2007). Agent-Based Modeling Simulation of Social Adaptation and Long-Term Change in Inner Asia. In: Takahashi, S., Sallach, D., Rouchier, J. (eds) Advancing Social Simulation: The First World Congress. Springer, Tokyo. https://doi.org/10.1007/978-4-431-73167-2_18
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DOI: https://doi.org/10.1007/978-4-431-73167-2_18
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