One of the many sub-machines provided by homomorphism. Why



All these meanings should be distinguished is because different

Sub-machines can have different properties; so that although both

Sub-machines may be abstracted from the same real “thing”, a

Statement that is true of one may be false of another.

It follows that there can be no such thing as the (unique) behav-

Iour of a very large system, apart from a given observer. For there

Can legitimately be as many sub-machines as observers, and

Therefore as many behaviours, which may actually be so different

As to be incompatible if they occurred in one system. Thus the

State system with kinematic graph

h ← k →

m → l ← j →

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Sub-machine (with states r and s) given by the transformation

H b j k l

Rs

has graph s → r, with one basin and no cycle. Both statements are

Equally true, and are compatible because they refer to different

Systems (as defined in S.3/11).

The point of view taken here is that science (as represented by

The observer’s discoveries) is not immediately concerned with

Discovering what the system “really” is, but with co-ordinating

The various observers’ discoveries, each of which is only a por-

Tion, or an aspect, of the whole truth.

Were the engineer to treat bridgebuilding by a consideration of

Every atom he would find the task impossible by its very size. He

Therefore ignores the fact that his girders and blocks are really

Composite, made of atoms, and treats them as his units. As it hap-

Pens, the nature of girders permits this simplification, and the

Engineer’s work becomes a practical possibility. It will be seen

Therefore that the method of studying very large systems by stud-

Ying only carefully selected aspects of them is simply what is

Always done in practice. Here we intend to follow the process

More rigorously and consciously.

The lattice. The various simplifications of a machine have

Exact relations to one another Thus, the six forms of the system of

Ex. 6/13/2 are:

A, b, c, d

                 (2) a + b, c, d

                 (3) a, b, c + d

                 (4) a + b, c + d

                 (5) a, b + c + d

                 (6) a + b + c + d

where, e.g. “a + b” means that a and b are no longer distinguished.

Now (4) can be obtained from (3) by a merging of a and b. But (5)

Cannot be obtained from (4) by a simple merging; for (5) uses a

Distinction between a and b that has been lost in (4). Thus it is

Soon verified that simplification can give:

From (1): all the other five,

And (6),

And (6),

                 ,, (4): (6),

                 ,, (5): (6),

None.

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Has two basins, and always ends in a cycle. The homomorphic

A N I N T R O D UC T I O N T O C Y B E R NE T I C S

TH E BL AC K B O X

The various simplifications are thus related as in the diagram, in

Which a descending line connects the simpler form (below) with

The form from which it can be directly obtained (above):

1

2

3

Tem with a vast number of interacting parts, going through a trade

Cycle, to the simple form of two states:

Boom

Slump

Thus, the various simplifications of a dynamic system can

Ordered and related.

Models. We can now see much more clearly what is meant

By a “model”. The subject was touched on in S.6/8, where three

Systems were found to be isomorphic and therefore capable of

Being used as representations of each other. The subject is some

Of importance to those who work with biological systems, for in

Many cases the use of a model is helpful, either to help the worker

Think about the subject or to act as a form of analogue computer.

The model will seldom be isomorphic with the biological sys-

Tem: usually it will be a homomorphism of it. But the model is

Itself seldom regarded in all its practical detail: usually it is only

Some aspect of the model that is related to the biological system;

Thus the tin mouse may be a satisfactory model of a living

Mouse— provided one ignores the tinniness of the one and the


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