So, cybernetics was the study of the control of systems ā or specifically, the study of the control of systems with enough internal complexity for there to exist an interesting problem of how to manage them. The building blocks of cybernetic arguments are framed in terms of relationships between elements which have to be viewed as black boxes.
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Stafford Beerās cybernetics tells us that in these cases, while peopleās opinions are important, the facts of the organisational outcomes are what we need to work with. In his most pithy formulation of the principle, he expands the black box principle to a rather more uncomfortable statement.
The purpose of a system is what it does.
Trying to build things meant that everything had to be kept specific, but the theory of information couldnāt straightforwardly be applied to massively connected systems. You needed to find a way of describing things that was both rigorous and representative of reality. As economists will tell you, this isnāt an easy thing to do.
This law states that anything which aims to be a āregulatorā of a system needs to have at least as much variety as that system. In order to understand what that means, we need to get a short way into the theory of cybernetics. But for the meantime, for a sort of high-level metaphorical understanding, * think about how you steer various kinds of vehicles. A train can really only go forwards and backwards, so it only needs a single handle. A car can make turns, so its control system requires a steering wheel to represent the added dimension. And an aeroplane needs a joystick rather than a steering wheel, because it can make two kinds of turns. Letās see where cyberneticians took this idea.
Which to be honest, is often all you really need in these contexts. The whole damn thing* in cybernetics is made of newspapers and high-level analogies. This isnāt computer science, where you can point to the states, bits and circuits on a piece of silicon.
This sort of decision is fundamental to the cybernetic analysis of systems; you are always attenuating variety in some way or other unless you are describing a system that consists of everything in the universe.
Corporations are decision-making systems, not āintelligencesā. They have homeostatic forces which aim to maintain their equilibrium, and higher-order decision-making systems which mean they are able to reorganise themselves in order to respond to shocks beyond the scope of anything anticipated when they were designed. To attribute motivation to them is to make assumptions about the internal workings of the black box ā the original intellectual sin of cybernetic analysis.