It is important to realize that the exercise of any skill depends on the ability to create an abstract system of some kind out of the totality of the world around us. For instance, the carpenter is not interested in wood as a biological or chemical entity. He is sensitive to many of its grosser physical properties but not to many subtler ones. The wood of a carpenter is not the real — that is, the complete substance — but merely wood as a material on which the carpenter can exercise his skill.

In this chapter I want to raise the question partly in jest but partly also in seriousness whether the concept of the image cannot become the abstract foundation of a new science, or at least a cross-disciplinary specialization. As I am indulging in the symbolic communication of an image of images I will even venture to give the science a name — Eiconics — hoping thereby to endow it in the minds of my readers with some of the prestige of classical antiquity. I run some risk perhaps of having my new science confused with the study of icons. A little confusion, however, and the subtle overtones of half-remembered associations are all part of the magic of the name.

If a totally new image is to come into being however, there must be sensitivity to internal messages, the image itself must be sensitive to change, must be unstable, and it must include a value image which places high value on trials, experiments, and the trying of new things.

The human being, on the other hand, is firmly located in a temporal process. He has an image of the past which extends back far beyond the limits of his own life and experience, and he likewise has an image of the future. Closely associated with the time structure of his image is the image of the structure of relationships. Because we are aware of time, we are also aware of cause and effect, of contiguity and succession, of cycles and repetition. The image of man is also characterized by a much greater degree of self-consciousness and of self-awareness than that of the lower animals. We not only know, but we know that we know. This reflective character of the human image is unique, and is what leads to philosophy.

[Even the mechanism can be endowed with an image. Thus] the thermostat has an image of the outside world in the shape of information regarding its temperature. It has also a value system in the sense of the ideal temperature at which it is set. Its behavior is directed towards the receipt of information which will bring its image and its value systems together

What I have been talking about is knowledge. Knowledge, perhaps, is not a good word for this. Perhaps one would rather say my image of the world. Knowledge has an implication of validity, of truth. What I am talking about is what I believe to be true; my subjective knowledge. It is this Image that largely governs my behavior. In about an hour I shall rise, leave my office, go to a car, drive down to my home, play with the children, have supper, perhaps read a book, go to bed. I can predict this behavior with a fair degree to accuracy because of the knowledge which I have: the knowledge that I have a home not far away, to which I am accustomed to go. The prediction, of course, may not be fulfilled. There may be an earthquake, I may have an accident with the car on the way home, I may get home to find that my family has been suddenly called away. A hundred and one things may happen. As each event occurs, however, it alters my knowledge structure or my image. And as it alters my image, I behave accordingly. The first proposition of this work, therefore, is that behavior depends on the image.

As I sit at my desk, I know where I am. I see before me a window; beyond that some trees; beyond that the red roofs of the campus of Stanford University; beyond them the trees and the roof tops which mark the town of Palo Alto; beyond them the bare golden hills of the Hamilton Range... beyond that other mountains, range upon range, until we come to the Rockies; beyond that the Great Plains and the Mississippi; beyond that the Alleghenies; beyond that the eastern seaboard; beyond that the Atlantic Ocean; beyond that is Europe; beyond that is Asia. I know, furthermore, that if I go far enough I will come back to where I am now. In other words, I have a picture of the earth as round. I visualize it as a globe. I am a little hazy on some of the details... I probably could not draw a very good map of Indonesia, but I have a fair idea where everything is located on the face of this globe. Looking further, I visualize the globe as a small speck circling around a bright star which is the sun, in the company of many other similar specks, the planets. Looking still further, I see our star the sun as a member of millions upon millions of others in the Galaxy. Looking still further, I visualize the Galaxy as one of millions upon millions of others in the universe.

One advantage of exhibiting a hierarchy of systems in this way is that it gives us some idea of the present gaps in both theoretical and empirical knowledge. Adequate theoretical models extend up to about the fourth level, and not much beyond. Empirical knowledge is deficient at practically all levels.

A second possible approach to general systems theory is through the arrangement of theoretical systems and constructs in a hierarchy of complexity, roughly corresponding to the complexity of the "individuals" of the various empirical fields... leading towards a "system of systems."… I suggest below a possible arrangement of "levels" of theoretical discourse.

Two possible approaches to the organization of general systems theory suggest themselves, which are to be thought of as complementary rather than competitive, or at least as two roads each of which is worth exploring. The first approach is to look over the empirical universe and to pick out certain general phenomena which are found in many different disciplines, and to seek to build up general theoretical models relevant to these phenomena. The second approach is to arrange the empirical fields in a hierarchy of complexity of organization of their basic "individual" or unit of behavior, and to try to develop a level of abstraction appropriate to each.

Knowledge is not something which exists and grows in the abstract. It is a function of human organisms and of social organization. Knowledge, that is to say, is always what somebody knows: the most perfect transcript of knowledge in writing is not knowledge if nobody knows it. Knowledge however grows by the receipt of meaningful information - that is, by the intake of messages by a knower which are capable of reorganising his knowledge.

General Systems Theory is a name which has come into use to describe a level of theoretical model-building which lies somewhere between the highly generalized constructions of pure mathematics and the specific theories of the specialized disciplines. Mathematics attempts to organize highly general relationships into a coherent system, a system however which does not have any necessary connections with the "real" world around us. It studies all thinkable relationships abstracted from any concrete situation or body of empirical knowledge.