Mining the social fabric of archaic urban centers with cultural algorithms

Authored by Robert G. Reynolds, Mostafa Ali, Thaer Jayyousi

Date Published: 2008-01

DOI: 10.1109/mc.2008.25

Sponsors: No sponsors listed

Platforms: No platforms listed

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

Applying a suite of tools from artificial intelligence and data mining to existing archaeological data from Monte Alban, a prehistoric urban center, offers the potential for building agent-based models of emergent ancient urban centers. Specifically, the authors examined the period of occupation associated with the emergence of this early site, seeking to generate a set of decision rules using data-mining techniques and then using the cultural algorithm toolkit to express the underlying social interaction between the initial inhabitants. Future work will focus on how well the system can adjust the rules collectively to better predict terrace occupation.

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