Sublime

emergent phenomena, ergodicity, radical uncertainty, and computational irreducibility.

This paradox of comprehension was articulated explicitly by a great physicist of an earlier age: “Sir Isaac Newton, when asked what he thought of the infatuations of the people, answered that he could calculate the motions of erratic bodies, but not the madness of a multitude” (quoted from The Church of England Quarterly Review, 1850).

What’s really happening within each city is a massive exchange of information across social and economic networks of people and organizations, all taking place on a complex infrastructural landscape of buildings, roads, pipes, and wires. For the most part there is no maestro; the properties of cities emerge from countless interactions of millions

rabbit. So you can think of the economy as a series of shocks moving to an equilibrium, shock, moving to an equilibrium.

Overspecialization can lead to collective tragedy even when every individual separately takes the most reasonable course of action.

Rather, after a simulation is run a thousand or a million times, such models show policy makers the range of possible futures and their relative probabilities if policies remain unchanged. Then, by altering policies in the model and running them another million times, we might begin to understand paths to better futures.