2/n This new research deploys #ScalingLaw insights to understand the population-density driven transition from temporary hunter-gatherer settlements to permanent sedentary city life.
3/n Previous research on the impact of densification on the transition into city life has yielded conflicting results, some suggesting that hunter-gatherer groups actually thin out as they scale. (In what ways might this reflect transitions in the scaling of microbial organisms?)
4/n Why do hunter-gatherer groups decline in population density before the transition to sedentism? This research suggests the benefits of city life include ways of relating inaccessible to nomadic foragers, which both enable and reward greater density.
5/n As explored by SFI Prof Deborah Gordon's work on ant colonies as distributed computation, the structure of human communities reflects their adaptation to stable/unstable environmental variables — how organisms manage #risk & #uncertainty, agility vs. specialization tradeoffs.
6/n One factor for decline in density as hunter-gatherers band together in greater numbers appears to do with with the modular association of close family groups with other families, with buffer zones between them...
7/n This may have to do with how relatedness dilutes and food sharing/conflict resolution becomes more burdensome as hunter-gatherer bands scale — without more advanced trust/sharing/resource management technologies, dense but loosely-related groups become increasingly unwieldy.
8/n Building a model for understanding the average relationships among properties across hunter-gatherer camps, the team identifies temporality, fission-fusion dynamics, and a correlation between relatedness and proximity. Energy capture as a function of density also figures in.
9/n How does the density of hunter-gatherer camps affect the resource exploitation efficiency? Up to a point, info sharing increases per capita energy capture...but then competition yields diminishing returns. (These dynamics have long been offered as a fission-fusion driver.)
10/n There is a different relationship between population density & social production; this model reveals a "sweet spot" that opens up for permanent settlements in nutrient-dense environments, where the conflicting demands of energy capture & cultural richness come into balance.
11/n There are, of course, tradeoffs to cohabitation at any scale: the benefits of association vs. the costs (stress, crime, disease) of living in close proximity.
(As historian Helen Cam put it, "Civilization is the art of living together w/ people not entirely like oneself.")
12/n This paper formalizes the relationship between the innovation of regulatory & transport infrastructure & the costs of living together in close proximity — shedding light on the relationship between coastal settlements, agriculture, money, privacy, police, & population size.
13/n In summary, key takeaways from this paper — with a gesture toward a question implied by but unasked in this paper:
In what ways can this worked be applied to major organizational transitions in other systems, such as the evolution of complex cells & social organisms?
14/n Note on the data used in this study:
"To test these expectations, we use a database representing 1,760 hunter-gatherer camps from 112 different cultural groups and a variety of regional and ecological settings (Whitelaw 1989, 1991, 1994)."
15/n There's much more to explore in this paper. Read the whole thing in Current #Anthropology (@UChicagoPress) — and for more on settlement #scaling, listen to our #ComplexityPodcast episodes with @BettencourtLuis (ep. 4), Scott Ortman (ep. 47), and Geoffrey West (eps. 35, 36).
• • •
Missing some Tweet in this thread? You can try to
force a refresh
ICYMI, this week's SFI Seminar by Fractal Faculty Stuart Firestein (@Columbia) on "what started out ass a very simple-seeming problem [re: #olfaction] and turned out to be very complicated":
"Everything we know about the world comes through these little holes in our head and the skin covering our body, processed through tissue specialized to interpret it."
"The thing to notice about [sight and hearing] is that they're [processing] fairly low-dimensional stimuli."
"Even a simple smell is composed of a VARIETY of molecules, and these are high-dimensional from a chemical point of view. And it's also a somewhat discontinuous stimulus. How do we get from this bunch of molecules to this unitary perception of something like a rose?"
"A key feature of this is talk is that we make sense of what each other are saying IN PART by what they say, but ALSO by what we expect of them."
"Language transmits info against a background of expectations – syntactic, semantic, and this larger cultural spectrum. It's not just the choices of make but [how] we set ourselves up to make later choices."
"I think what really drives [the popularity of the #multiverse in #scifi] is regret... There's a line in @allatoncemovie where #MichelleYeoh is told she's the worst version of herself."
"I don't think we should resist melting brains. I think we should just bite the bullet."
"When you measure the spin of an electron, or the position...what happened to all of the other things you could have seen? Everett's idea is that they're all real. They all become real in that measurement."
- SFI Fractal Faculty @seanmcarroll at @guardian theguardian.com/science/audio/…
"At the level of the equations there is zero ambiguity, but the metaphors break down. The two universes it splits into aren't as big as the original universe. The thickness of the two new universes adds up to the thickness of the original universe."
"One way to represent the kind of #compositionality we want to do is with this kind of breakdown...eventually a kind of representation of a sentence. On the other hand, vector space models of #meaning or set-theoretical models put into a space have been very successful..."
"Humans are prone to giving machines ambiguous or mistaken instructions, and we want them to do what we mean, not what we say. To solve this problem we must find ways to align AI with human preferences, goals & values."
- @MelMitchell1 at @QuantaMagazine: quantamagazine.org/what-does-it-m…
“All that is needed to assure catastrophe is a highly competent machine combined with humans who have an imperfect ability to specify human preferences completely and correctly.”
"It’s a familiar trope in #ScienceFiction — humanity threatened by out-of-control machines who have misinterpreted human desires. Now a not-insubstantial segment of the #AI research community is concerned about this kind of scenario playing out in real life."
- @MelMitchell1