RESEARCH COLLOQUIUM ON COMPUTATIONAL SOCIAL SCIENCE/DATA SCIENCES – Polity Cycling in Great Zimbabwe via Agent-Based Modeling: The Effects of Timing and Magnitude of External Factors – Gary Bogle, CSS Ph.D.

When:
May 3, 2019 @ 3:00 pm
2019-05-03T15:00:00-04:00
2019-05-03T15:15:00-04:00
Where:
CENTER FOR SOCIAL COMPLEXITY SUITE, 3RD FLOOR, RESEARCH HALL
Cost:
Free
Contact:
Karen Underwood
7039939298

RESEARCH COLLOQUIUM ON COMPUTATIONAL SOCIAL SCIENCE/DATA SCIENCES

Gary Bogle, PhD
Computational Social Science
George Mason University

Polity Cycling in Great Zimbabwe via Agent-Based Modeling:
The Effects of Timing and Magnitude of External Factors

Friday, May 03, 3:00 p.m.
Center for Social Complexity Suite, 3rd Floor Research Hall

All are welcome to attend.

Abstract:

This research explores polity cycling at the site of Great Zimbabwe. It rests on laying out the possibilities that may explain what is seen in the archaeological record in terms of modeling what external factors, operating at specific times and magnitudes. What can cause a rapid rise and decline in the polity? This is explored in terms of attachment that individuals feel towards the small groups of which they are a part of, and the change in this attachment in response to their own resources and the history of success that the group enjoys in conducting collective action. The model presented in this research is based on the Canonical Theory of politogenesis. It is implemented using an agent-based model as this type of model excels at generating macro-level behavior from micro-level decisions.
The input parameters to the model presented here are the collective action frequency (CAF) and environmental effect multiplier. The results show that a prehistoric polity can be modeled to demonstrate a sharp rise and fall in community groups and that the rise and fall emerges from the individual decision-making.