ABM Simulation of Transition from Late Longshan Cultures to Early Erlitou Culture (1.0.0)
Within the archeological record for Bronze Age Chinese culture, there continues to be a gap in our understanding of the sudden rise of the Erlitou State from the previous late Longshan chiefdoms. In order to examine this period, I developed and used an agent-based model (ABM) to explore possible socio-politically relevant hypotheses for the gap between the demise of the late Longshan cultures and rise of the first state level society in East Asia. I tested land use strategy making and collective action in response to drought and flooding scenarios, the two plausible environmental hazards at that time. The model results show cases of emergent behavior where an increase in social complexity could have been experienced if a catastrophic event occurred while the population was sufficiently prepared for a different catastrophe, suggesting a plausible lead for future research into determining the life of the time period.
The ABM published here was originally developed in 2016 and its results published in the Proceedings of the 2017 Winter Simulation Conference.
Release Notes
This is the original as used at the 2017 Winter Simulation Conference
Associated Publications
Iasiello, C. (2017). Using agent-based modeling to replicate origins of social complexity: the case of limited evidence in the late Longshan cultures and early Erlitou culture. In Proceedings of the 2017 Winter Simulation Conference (WSC ‘17). IEEE Press, Article 363, 1–12.
This is a companion discussion topic for the original entry at https://www.comses.net/codebases/e79295ae-40fe-45cd-8640-450c52bd3a89/releases/1.0.0