New York), pp. 231-233.
Buchanan draws some conclusions about the flow of history that dovetail nicely with the notion of gnarly computation.
History could in principle be like the growth of a tree and follow a simple progression towards a mature and stable endpoint, as both Hegel and Karl Marx thought. In this case, wars and other tumultuous social events should grow less and less frequent as humanity approaches the stable society at the End of History.
Or history might be like the movement of the Moon around the Earth, and be cyclic, as the historian Arnold Toynbee once suggested. He saw the rise and fall of civilizations as a process destined to repeat itself with regularity. Some economists believe they see regular cycles in economic activity, and a few political scientists suspect that such cycles drive a correspondingly regular rhythm in the outbreak of wars.
Of course, history might instead be completely random, and present no perceptible patterns whatsoever …
“But this list is incomplete … The [gnarly] critical state bridges the conceptual gap between the regular and the random. The pattern of change to which it leads through its rise of factions and wild fluctuations is neither truly random nor easily predicted. … It does not seem normal and lawlike for long periods of calm to be suddenly and sporadically shattered by cataclysm, and yet it is. This is, it seems, the ubiquitous character of the world.
In his Foundation series, Isaac Asimov depicts a universe in which the future is to some extent regular and predictable, rather than being gnarly. His mathematician character Hari Seldon has created a technique called “psychohistory” that allows him to foretell the large-scale motions of society. This is fine for an SF series, but in the real world, it seems not to be possible.
One of the more intriguing observations regarding history is that, from time to time a society seems to undergo a sea change, a discontinuity, a revolution—think of the Renaissance, the Reformation, the Industrial Revolution, the Sixties, or the coming of the Web. In these rare cases it appears as if the underlying rules of the system have changed.
Although the day-to-day progress of the system may be in any case unpredictable, there’s a limited range of possible values that the system actually hits. In the interesting cases, these possible values lie on a fractal shape in some higher-dimensional space of possibilities—this shape is what chaos theory calls a strange attractor.
Looking at the surf near a spit at the beach, you’ll notice that certain water patterns recur over and over—perhaps a double-crowned wave on the right, perhaps a bubbling pool of surge beside the rock, perhaps a high-flown spray of spume off the front of the rock. This range of patterns is a strange attractor. When the tide is lower or the wind is different, the waves will run through a different repertoire—they’ll be moving on a different strange attractor.
During any given historical period, a society has a kind of strange attractor. A limited number of factions fight over power, a limited number of social roles are available for the citizens, a limited range of ideas are in the air. And then, suddenly, everything changes, and after the change there’s a new set of options—society has moved to a new strange attractor. Although there’s been no change in the underlying rule for the social computation, some parameter has altered so that the range of currently possible behaviors has changed.
Society’s switches to new chaotic attractors are infrequently occurring zigs and zags generated by one and the same underlying and eternal gnarly social computation. The basic underlying computation involves such immutable facts as the human drives to eat, find shelter, and live long enough to reproduce. From such humble rudiments doth history’s great tapestry emerge—endlessly various, eternally the same.
I mentioned that SF helps us to highlight