The mathematical physicist must simplify in order to get a manageable model, and although his concepts are of great beauty, they are austere in the extreme, and the more complicated crystal patterns observed by the metallurgist or geologist, being based on partly imperfect reality, often have a richer aesthetic content. Those who are concerned with structure on a super atomic scale find that there is more significance and interest in the imperfections in crystals than in the monotonous perfection of the crystal lattice itself.
Recently there is a tendency to pursue distortion in art, but in the case of this jar, natural deformation has raised distortion to the level of spontaneous beauty.
Generally speaking, the Western perception of art has its roots in Greece. For a long time its goal was perfection, which is particularly noticeable in Greek sculpture. This was in keeping with Western scientific thinking; there are no painters like Andrea Mantegna in the East. I am tempted to call such art ‘the art of even numbers’.
In contrast to this, what the Japanese eye sought was the beauty of imperfection, which I would call ‘the art of odd numbers’. No other country has pursued the art of imperfection as eagerly as Japan.
We love to see the process, not just the result. The imperfections in your work can be beautiful if they show your struggle for perfection, not a lack of care.
While the client has some knowledge of his symptoms, he may not understand the real causes of them, and it is foolish to try to cure the symptoms only. Thus while the systems engineers must listen to the client, they should also try to extract from the client a deeper understanding of the phenomena. Therefore, part of the job of a systems engineer is to define, in a deeper sense, what the problem is and to pass from the symptoms to the causes.
Just as there is no definite system within which the solution is to be found, and the boundaries of the problem are elastic and tend to expand with each round of solution, so too there is often no final solution, yet each cycle of input and solution is worth the effort. A solution which does not prepare for the next round with some increased insight is hardly a solution at all.
I suppose the heart of systems engineering is the acceptance that there is neither a definite fixed problem nor a final solution, rather evolution is the natural state of affairs. This is, of course, not what you learn in school, where you are given definite problems which have definite solutions.