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Towards Emergent Social Complexity

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dc.contributor.advisor Axtell, Robert L.
dc.contributor.advisor Crooks, Andrew
dc.contributor.author Rouly, Ovi Chris
dc.creator Rouly, Ovi Chris
dc.date.accessioned 2016-04-19T19:27:27Z
dc.date.available 2016-04-19T19:27:27Z
dc.date.issued 2015
dc.identifier.uri https://hdl.handle.net/1920/10162
dc.description.abstract Complexity science often uses generative models to study and explain the emergent behavior of humans, human culture, and human patterns of social organization. In spite of this, little is known about how the lowest levels of human social organization came into being. That is, little is known about how the earliest members of our hominini tribe transitioned from being presumably small-groups of ape-like polygamous/ promiscuous individuals (beginning perhaps as early as Ardipithecus or Australopithecus after the time of the Pan-Homo split in the late Pliocene to early Pleistocene eras) into family units having stable breeding-bonds, extended families, and clans. What were the causal mechanisms (biological, possibly cognitive, social, and environmental, etc.) that were responsible for the conversion? To confound the issue, it is also possible the conversion process itself was a complex system replete with input sensitivities and path dependencies, i.e., a nested complex system. These processes and their distinctive social arrangements may be referred to favorably (as one notable anthropologist has called them) as, “the deep structure of society.” This dissertation describes applied research that used discrete event computer modeling techniques in an attempt to model-then-understand a few of the underlying social, environmental, and biological systems present at the root of human sociality; at the root of social complexity.
dc.format.extent 179 pages
dc.language.iso en
dc.rights Copyright 2015 Ovi Chris Rouly
dc.subject Systems science en_US
dc.subject Social structure en_US
dc.subject Psychology en_US
dc.subject Agent-Based Model en_US
dc.subject Artificial Life en_US
dc.subject Co-evolution en_US
dc.subject Individual-Based Model en_US
dc.subject Small-group social behavior en_US
dc.subject Social Complexity en_US
dc.title Towards Emergent Social Complexity
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Computational Social Science en
thesis.degree.grantor George Mason University en


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  • Krasnow Institute for Advanced Study
    Seeking to understand the human mind: how it came to be, how it relates to the electrochemical activities of networks of nerve cells in the brain, how it can be modeled on computers, and how it is a vital component of what we are.

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