Computational Archaeology (Other Keyword)

1-3 (3 Records)

Beyond Counting Sheep: An Interdisciplinary Review of Faunal Assemblages in the British Pastoral Landscape (2019)
DOCUMENT Citation Only Roxanne Guildford.

This is an abstract from the "Zooarchaeology and Technology: Case Studies and Applications" session, at the 84th annual meeting of the Society for American Archaeology. One of the challenges in zooarchaeological research is to advance new methods of understanding animal husbandry within the past socio-ecological context. Intensification of wool production is typically evidenced in the archaeological record by the increase of sheep remains in species abundance and adult mortality; however,...

Can government be self-organized? A mathematical model of the collective social organization of ancient Teotihuacan, Central Mexico (2015)
DOCUMENT Citation Only Tom Froese. Carlos Gershenson. Linda Manzanilla.

Teotihuacan was the first extensive urban civilization of Mesoamerica and one of the largest of the ancient world. Following a tradition in archaeology to equate social complexity with centralized hierarchy, it is still widely believed that its origin and growth was controlled by a dynastic lineage of powerful individuals. However, much data is indicative of a government of co-rulers, and artistic traditions expressed an egalitarian ideology while deemphasizing individuals. Yet this...

Toward effective cyber-infrastructure support of socio-environmental research (2015)
DOCUMENT Citation Only R. Kyle Bocinsky. Keith Kintigh. Timothy A. Kohler. Margaret C. Nelson.

Understanding coupled human and natural systems is a major research focus for the social and natural sciences. Scholars interested in historic environmental conditions (including those of deep pre-history) cannot simply extrapolate the past from the present. Instead, they need environmental knowledge specific to their spatial-temporal problem contexts. However, in accounting for environmental change they are likely to find that state-of-the-art data on past environments are difficult to discover...