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dc.contributor.advisorReid, J. Jeffersonen_US
dc.contributor.authorLittler, Matthew Laws, 1973-*
dc.creatorLittler, Matthew Laws, 1973-en_US
dc.date.accessioned2013-04-03T13:33:15Z
dc.date.available2013-04-03T13:33:15Z
dc.date.issued1998en_US
dc.identifier.urihttp://hdl.handle.net/10150/278685
dc.description.abstractThis 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.isoen_USen_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © 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.subjectAnthropology, Archaeology.en_US
dc.subjectComputer Science.en_US
dc.titleSimulating the Long House Valley: An evaluation of the role of agent-based computer simulation in archaeologyen_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
thesis.degree.grantorUniversity of Arizonaen_US
thesis.degree.levelmastersen_US
dc.identifier.proquest1393720en_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineAnthropologyen_US
thesis.degree.nameM.A.en_US
dc.identifier.bibrecord.b39471834en_US
refterms.dateFOA2018-06-28T11:33:27Z
html.description.abstractThis 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.


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