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posted ago by Narg ago by Narg +20 / -0

This excerpt is about cellular (biological) complexity but I believe the core idea applies to AI and to other extremely complex systems, especially when they are interacting with (inherently unpredictable) humans.

This topic is alien to the Left hemisphere (which virtualizes -- makes unreal -- the world and breaks everything down into pieces in the service of manipulating and utilizing the world) but fits perfectly with the world as understood by the Right hemisphere.

From Iain McGilchrist's The Matter With Things: Our Brains, Our Delusions, and the Unmaking of the World

The geneticist Phiip Gell, speaking about his area of research, considers that 'the heart of the problem lies in the fact that we are dealing not with a chain of causation but with a network', something like a spider's web, in which a perturbation at any point of the web changes the tension of every fibre in it.

. . . Until recently it was assumed that signalling pathways in cells were linear sequences, beginning from a defined starting point and progressing by an orderly sequence of steps to a defined conclusion. Somehow it was overlooked that each of those theoretically abstractable sequences was in practice interlocked at different points with other dynamically evolving sequences. A team of molecular biologists from Brussels decided to plot the interactions between just four cascades, each consisting of only five steps. The result, as they put it, is a 'horror graph' (see Plate 13[a]):

With four cascades of five steps, the number of possible positive and negative interactions is 760. This does not take into account the multiplicity of different isoforms of proteins at the different levels of the cascades, the multiplicity of effects of each intermediate in each cascade, the stimulation by a cascade of the secretion of extracellular signals, or feedback or feedforward controls within cascades. In fact, so many interactions are now described (everything does everything to everything) that it is difficult to reconcile this concept with the known specificity of action of signals in each cell.

'Everything does everything to everything': interlocking, reciprocal and interpenetrating processes on such a scale show chains of causation to provide limited insight into cell responses.

But that's not all. It's not just that steps are related in a more complicated fashion than the machine model leads us to assume. It's the idea of there being steps at all (even if useful when focussing on the minuscule and the time-sliced) is misleading when looking at the whole over a duration of time. . . . It is the difference between a sequence - a concatenation, a chain - and a single, indivisible movement, a flow. Flow is a process: a chain is a series of things, that are static until one is given a push or a pull by the thing next to it.

~ pp. 694 - 696 of 2996 (from the Kindle version, which has different page numbers than the two-volume hardback set)