Mutual mapping cybernetics
Decades after computers emerged, great minds aspired to create a computer system (like 'Artificial Intelligence', etc.) which can manage the organization better than a human being.
It is quite natural that they failed, as the Requisite Variety Principle directly denies such possibility ('the system that regulates must be of greater variety than the regulated system', while all computers on earth combined have not yet reached parity with a human of average intellect — a single human being).
Company captain's bridge for owners and top management.
All the information about the state of the enterprise in real time — on your iPhone.
What can even be said about the complexity of even a small company comprising hundreds human minds and subjected to an infinite number of factors of the physical world?
The mutual mapping technology elegantly overcomes these fundamental constraints placing the organization inside the control meta-system, thus making it more complex than the organization under control, in the same way as the whole is always greater than one of its parts.
Besides, a cybernetic image can be made as complex as needed by elaborating model's details.
Thus, there are no limits in terms of size and complexity of the organization under control up to the scale of the entire human race and beyond.
Is it possible that a single system from a small team of developers without external resources could outstrip the products of the world mega-corporations for decades?
The evolution of the mutual mapping meta-system being the whole obeys two rules:
- each system evolves independently of the other
- every change in one system is instantly duplicated in the other system
Two simple rules jointly delivers a variety of amazing results.
One, among other things, is that we generally cannot predict the evolution of the meta-system. On the other hand, we can be certain that the state of the meta-system is optimal at any given time in terms of achieving the goal of control which is of course limited by existing possibilities of the environment and the quality of the model.
In terms of business, the optimal state of the controlling meta-system corresponds to the maximum profit possible (or the minimum loss possible) under existing market conditions.