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Cycling in the Complexity of Early Societies.

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Date: 
October 8, 2009
Presenter: 
Sergey Gavrilets

Department of Ecology and Evolutionary Biology & Department of Mathematics, University of Tennessee

Warfare is commonly viewed as a force driving the process of aggregation of initially independent villages into larger and more complex political units that started several thousand years ago and quickly lead to the appearance of chiefdoms, states, and empires. Here, we build a spatially explicit agent-based model of the emergence of early complex societies via warfare. In our model polities are represented as hierarchically structured networks of villages whose size, power, and complexity change as a result of conquest, secession, internal reorganization (via promotion and linearization), and resource dynamics. A general prediction of our model is continuous stochastic cycling in which the growth of individual polities in size, wealth, and complexity is interrupted by their quick collapse. The model dynamics are mostly controlled by two parameters, one of which scales the relative advantage of wealthier polities in between and within-polity conflicts and the other is the chief's expected time in power. Our results highlight the importance of the existence of well-defined and accepted succession mechanisms, and of internal specialization of control mechanisms for the stability of large and complex polities.

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