Simulating the Long House Valley: An evaluation of the role of agent-based computer simulation in archaeology
dc.contributor.advisor | Reid, J. Jefferson | en_US |
dc.contributor.author | Littler, Matthew Laws, 1973- | |
dc.creator | Littler, Matthew Laws, 1973- | en_US |
dc.date.accessioned | 2013-04-03T13:33:15Z | |
dc.date.available | 2013-04-03T13:33:15Z | |
dc.date.issued | 1998 | en_US |
dc.identifier.uri | http://hdl.handle.net/10150/278685 | |
dc.description.abstract | This study presents the results of a detailed analysis of an agent-based computer simulation called Artificial Anasazi. The simulation attempts to replicate the population growth and settlement patterns of the prehistoric Kayenta Anasazi of Long House Valley in northeastern Arizona between A.D. 400-1300. Agent-based simulations model social evolution from the bottom-up, using heterogeneous agents that follow simple rules, in contrast to the top-down computer simulations usually used by archaeologists. Artificial Anasazi is tested against the archaeological record of the real Long House Valley through both qualitative and quantitative methods, and an analysis of the relevant ethnographic information is presented. The ultimate goal of this study is to elucidate the potentials and pitfalls of using agent-based computer simulation as a serious research tool in archaeology. | |
dc.language.iso | en_US | en_US |
dc.publisher | The University of Arizona. | en_US |
dc.rights | Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. | en_US |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | Anthropology, Archaeology. | en_US |
dc.subject | Computer Science. | en_US |
dc.title | Simulating the Long House Valley: An evaluation of the role of agent-based computer simulation in archaeology | en_US |
dc.type | text | en_US |
dc.type | Thesis-Reproduction (electronic) | en_US |
thesis.degree.grantor | University of Arizona | en_US |
thesis.degree.level | masters | en_US |
dc.identifier.proquest | 1393720 | en_US |
thesis.degree.discipline | Graduate College | en_US |
thesis.degree.discipline | Anthropology | en_US |
thesis.degree.name | M.A. | en_US |
dc.identifier.bibrecord | .b39471834 | en_US |
refterms.dateFOA | 2018-06-28T11:33:27Z | |
html.description.abstract | This study presents the results of a detailed analysis of an agent-based computer simulation called Artificial Anasazi. The simulation attempts to replicate the population growth and settlement patterns of the prehistoric Kayenta Anasazi of Long House Valley in northeastern Arizona between A.D. 400-1300. Agent-based simulations model social evolution from the bottom-up, using heterogeneous agents that follow simple rules, in contrast to the top-down computer simulations usually used by archaeologists. Artificial Anasazi is tested against the archaeological record of the real Long House Valley through both qualitative and quantitative methods, and an analysis of the relevant ethnographic information is presented. The ultimate goal of this study is to elucidate the potentials and pitfalls of using agent-based computer simulation as a serious research tool in archaeology. |