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dc.creatorPremo, Luke
dc.date.accessioned2015-12-01T18:09:38Z
dc.date.available2015-12-01T18:09:38Z
dc.date.issued2006
dc.identifier.urihttp://hdl.handle.net/2376/5657
dc.description.abstractAgent-based models can provide paleoanthropologists with a view of behavioral dynamics and site formation processes as they unfold in digital caricatures of past societies and paleoenvironments. This paper argues that the agent-based methodology has the most to offer when used to conduct controlled, repeatable experiments within the context of behavioral laboratories. To illustrate the potential of this decidedly heuristic approach, I provide a case study of a simple agentbased model currently being used to investigate the evolution of Plio- Pleistocene hominin food sharing in East Africa. The results of this null model demonstrate that certain levels of ecological patchiness can facilitate the evolution of even simple food sharing strategies among equally simple hominin foragers. More generally, they demonstrate the potential that agent-based models possess for helping historical scientists act as their own informants as to what could have happened in the past.en_US
dc.language.isoEnglish
dc.publisherArizona Anthropologisten_US
dc.rightsCreative Commons Attribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAgent-based modelsen_US
dc.subjectAltruismen_US
dc.subjectArtificial societiesen_US
dc.subjectHominin food sharingen_US
dc.subjectPaleoanthropologyen_US
dc.titleAgent-based models as behavioral laboratories for evolutionary anthropological researchen_US
dc.typeTexten_US
dc.description.citationPremo, L. S. (2006) Agent-based models as behavioral laboratories for evolutionary anthropological research. Arizona Anthropologist 17:91-113.


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  • Premo, Luke
    This collection features scholarly work by Luke Premo, assistant professor in the Department of Anthropology at Washington State University.

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Creative Commons Attribution 4.0 International
Except where otherwise noted, this item's license is described as Creative Commons Attribution 4.0 International