Academic Talk
Quantitative History Webinar Series - Cultural macroevolution: Understanding the rise of large-scale complex societies in human history Speaker: Peter Turchin Project Leader and Professor Complexity Science Hub Vienna and University of Connecticut Over the past 10,000 years, human societies evolved from “simple”—small egalitarian groups, integrated by…
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Quantitative History Webinar Series - Cultural macroevolution: Understanding the rise of large-scale complex societies in human history Speaker: Peter Turchin Project Leader and Professor Complexity Science Hub Vienna and University of Connecticut Over the past 10,000 years, human societies evolved from “simple”—small egalitarian groups, integrated by face-to-face interactions, —to “complex”—huge anonymous societies with great differentials in wealth and power, extensive division of labor, elaborate governance structures, and sophisticated information systems. One aspect of this “major evolutionary transition” that continues to excite intense debate is the origins and evolution of the state—a politically centralized territorial polity with internally specialized administrative organization. Theories proposed by early philosophers and contemporary social scientists make different predictions about causal processes driving the rise of state-level social organization. Evolutionary anthropologist Peter Turchin uses the framework of Cultural Evolution and data in Seshat: Global History Databank to empirically test predictions of several such theories. In particular, Peter Turchin analyzes how the evolution of specialized governance structures was affected by such factors as social scale (population, territorial expansion), social stratification, information systems, intensity of warfare, and the productivity of agriculture. In this Quantitative History Webinar, Peter Turchin of Complexity Science Hub Vienna and University of Connecticut will explore how these empirical results support the idea that a major evolutionary force explaining the rise of large-scale complex human societies, organized as states was Cultural Multi-Level Selection.
Institution
Quantitative History HQ
Format & Duration
YouTube · 1 hr 34 min
Connections
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Soil fertility depletion presents a negative feedback mechanism that could have impacted early adopters of agriculture. We consider whether such feedback can lead to population cycles among early agriculturalists, such as the boom-and-bust patterns suggested by an increasing amount of evidence for Neolithic Europe. Using general mathematical arguments, we show that this is unlikely, due to the interplay of two factors. First, there is an important mathematical difference between biotic (i.e., logistic) and abiotic resource replenishment; soil nutrients are better modeled by the abiotic case, which leads to more stable dynamics. Second, under realistic conditions, the resource replenishment process operates on fast time scales compared to attainable population growth rates, reinforcing the tendency towards stable dynamics. Both these factors are relevant for early agricultural societies and imply that nutrient depletion is likely not the main contributing factor to boom-and-bust cycles observed in the archaeological record.
Archaeological evidence suggests that the population dynamics of Mid-Holocene (Late Mesolithic to Initial Bronze Age, ca. 7000-3000 BCE) Europe are characterized by recurrent booms and busts of regional settlement and occupation density. These boom-bust patterns are documented in the temporal distribution of 14C dates and in archaeological settlement data from regional studies. We test two competing hypotheses attempting to explain these dynamics: climate forcing and social dynamics leading to inter-group conflict. Using the framework of spatially-explicit agent-based models, we translated these hypotheses into a suite of explicit computational models, derived quantitative predictions for population fluctuations, and compared these predictions to data. We demonstrate that climate variation during the European Mid-Holocene is unable to explain the quantitative features (average periodicities and amplitudes) of observed boom-bust dynamics. In contrast, scenarios with social dynamics encompassing density-dependent conflict produce population patterns with time scales and amplitudes similar to those observed in the data. These results suggest that social processes, including violent conflict, played a crucial role in the shaping of population dynamics of European Mid-Holocene societies.
Soil fertility depletion presents a negative feedback mechanism that could have impacted early adoptersof agriculture. In this paper, we present a formal mathematical analysis of the question whether such feedback can lead to population cycles in the context of early agriculturalists, such as the boom and bustpatterns suggested by an increasing amount of evidence for Neolithic Europe. We do this by considering candidates of second-order analytic models that capture dynamical interaction among farmers and soil fertility. Using general mathematical arguments, we show that under plausible conditions, the feedback between population growth and soil resource depletion is unlikely to lead to population cycles. This result is the consequence of two factors. First, there is an important mathematical difference between biotic (i.e. logistic) and abiotic resource replenishment; soil nutrients are better modelled by the abiotic case which leads to more stable dynamics. Second, under realistic conditions, the resource replenishment process has fast time-scales compared to attainable population growth rates, reinforcing the tendency of stable dynamics. Both of these factors play a role when considering early agricultural societies, and imply that nutrient depletion is not a credible mechanism for patterns of boom and bust cycles observed in the archaeological record. Published in Human Ecology