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This dissertation investigates the long-term consequences of human land-use practices in general, and in early agricultural villages in specific. This pioneering case study investigates the "collapse" of the Early (Pre-Pottery) Neolithic lifeway, which was a major transformational event marked by significant changes in settlement patterns, material culture, and social markers.

This dissertation investigates the long-term consequences of human land-use practices in general, and in early agricultural villages in specific. This pioneering case study investigates the "collapse" of the Early (Pre-Pottery) Neolithic lifeway, which was a major transformational event marked by significant changes in settlement patterns, material culture, and social markers. To move beyond traditional narratives of cultural collapse, I employ a Complex Adaptive Systems approach to this research, and combine agent-based computer simulations of Neolithic land-use with dynamic and spatially-explicit GIS-based environmental models to conduct experiments into long-term trajectories of different potential Neolithic socio-environmental systems. My analysis outlines how the Early Neolithic "collapse" was likely instigated by a non-linear sequence of events, and that it would have been impossible for Neolithic peoples to recognize the long-term outcome of their actions. The experiment-based simulation approach shows that, starting from the same initial conditions, complex combinations of feedback amplification, stochasticity, responses to internal and external stimuli, and the accumulation of incremental changes to the socio-natural landscape, can lead to widely divergent outcomes over time. Thus, rather than being an inevitable consequence of specific Neolithic land-use choices, the "catastrophic" transformation at the end of the Early Neolithic was an emergent property of the Early Neolithic socio-natural system itself, and thus likely not an easily predictable event. In this way, my work uses the technique of simulation modeling to connect CAS theory with the archaeological and geoarchaeological record to help better understand the causes and consequences of socio-ecological transformation at a regional scale. The research is broadly applicable to other archaeological cases of resilience and collapse, and is truly interdisciplinary in that it draws on fields such as geomorphology, computer science, and agronomy in addition to archaeology.
ContributorsUllah, Isaac (Author) / Barton, C. Michael (Thesis advisor) / Banning, Edward B. (Committee member) / Clark, Geoffrey (Committee member) / Arrowsmith, J. Ramon (Committee member) / Arizona State University (Publisher)
Created2013
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Description
Anderies (2015); Anderies et al. (2016), informed by Ostrom (2005), aim to employ robust

feedback control models of social-ecological systems (SESs), to inform policy and the

design of institutions guiding resilient resource use. Cote and Nightingale (2012) note that

the main assumptions of resilience research downplay culture and social power. Addressing

the epistemic ga

Anderies (2015); Anderies et al. (2016), informed by Ostrom (2005), aim to employ robust

feedback control models of social-ecological systems (SESs), to inform policy and the

design of institutions guiding resilient resource use. Cote and Nightingale (2012) note that

the main assumptions of resilience research downplay culture and social power. Addressing

the epistemic gap between positivism and interpretation (Rosenberg 2016), this dissertation

argues that power and culture indeed are of primary interest in SES research.

Human use of symbols is seen as an evolved semiotic capacity. First, representation is

argued to arise as matter achieves semiotic closure (Pattee 1969; Rocha 2001) at the onset

of natural selection. Guided by models by Kauffman (1993), the evolution of a symbolic

code in genes is examined, and thereon the origin of representations other than genetic

in evolutionary transitions (Maynard Smith and Szathmáry 1995; Beach 2003). Human

symbolic interaction is proposed as one that can support its own evolutionary dynamics.

The model offered for wider dynamics in society are “flywheels,” mutually reinforcing

networks of relations. They arise as interactions in a domain of social activity intensify, e.g.

due to interplay of infrastructures, mediating built, social, and ecological affordances (An-

deries et al. 2016). Flywheels manifest as entities facilitated by the simplified interactions

(e.g. organizations) and as cycles maintaining the infrastructures (e.g. supply chains). They

manifest internal specialization as well as distributed intention, and so can favor certain

groups’ interests, and reinforce cultural blind spots to social exclusion (Mills 2007).

The perspective is applied to research of resilience in SESs, considering flywheels a

semiotic extension of feedback control. Closer attention to representations of potentially

excluded groups is justified on epistemic in addition to ethical grounds, as patterns in cul-

tural text and social relations reflect the functioning of wider social processes. Participatory

methods are suggested to aid in building capacity for institutional learning.
ContributorsBožičević, Miran (Author) / Anderies, John M (Thesis advisor) / Bolin, Robert (Committee member) / BurnSilver, Shauna (Committee member) / Arizona State University (Publisher)
Created2017