Issue No. 01 - January (2008 vol. 41)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2008.25
Robert G. Reynolds , Wayne State University
Mostafa Ali , Wayne State University
Thaer Jayyousi , Wayne State University
Applying artificial intelligence and data-mining tools to existing archaeological data from Monte Alb´n, a prehistoric urban center, offers the potential for building agent-based models of emergent ancient urban centers. The authors use decision trees to characterize location decisions made by early inhabitants and inject these rules into a socially motivated learning system based on cultural algorithms. They can then infer an emerging social fabric whose networks provide support for certain theories about urban site formation.
data mining, Monte Alb´n, computational archaeology
R. G. Reynolds, M. Ali and T. Jayyousi, "Mining the Social Fabric of Archaic Urban Centers with Cultural Algorithms," in Computer, vol. 41, no. , pp. 64-72, 2008.