by Joël de Rosnay . Let us use the macroscope to direct a new look at nature, society, and man observes in the macroscope the organism that shelters it. Joël de Rosnay, (born 12 June ) is Docteur ès Sciences and scientific writer, presently On these subjects, he wrote: “Le Macroscope” (), “Les Chemins de la Vie” (The paths of life) () and “Le Cerveau Planétaire” (The planetary. Editions du Seuil, The complete book on a “The Macroscope” by Joël de Rosnay – Old but very good.

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The programming of the machine must foresee all disturbances likely to occur in the course of operation.

Simulation appears to be one of the most resourceful tools of the systemic approach.

Variety and mobility enable it to adapt to change. Consider two examples related to inventory and cash management. The laws of the additivity of elementary properties do not apply in highly complex systems composed of a large diversity of elements linked together by strong interactions.

It is particularly recommended to people who wish to get an understanding of the basic concepts and applications of systems theory and cybernetics. In fact homeostasis can be established and maintained only when there is a large variety of controls. To demystify further the systemic approach and to enable it to remain a transdisciplinary attitudea training in the mastery of complexity and interdependence, it may be necessary to get rid of the very terms systemic approach and systemic method.

The Macroscope: A New World Scientific System, by Joel de Rosnay et al. | The Online Books Page

To accept this transitory risk is to accept and to want change. And here it is possible to illustrate the difference between a positive and a negative feedback loop. The present example is of only limited interest because it is such a rudimentary model; in the presence of several hundred variables, however, the simulation presents and achieves, as we shall see, valuable results.

Such rosnag definition can be too general. If the information received at the level of the reservoir indicates that the level is rising, the decision to open the valves wider will allow overflow; if the level is falling, the decision to reduce the outflow will lead to a rapid drying up of the reservoir.


Wages and other income of the holder of the account represent a flow variable expressed in a quantity of money for a period of time; expenses correspond to the flow variable of output. Beyond the vocabulary, the analogies, and the metaphors there appears to exist a common approach that makes it possible to understand better and describe better the organized complexity. The concept of system is the crossroads of the metaphors; ideas from all the disciplines travel there.

They are three of the most general concepts of the systemic approach, and they are the keys to the juxtaposition of very different areas from biology to management, from engineering to ecology. An organization can maintain itself in the manner of a crystal or that of a living cell.

Emergence is linked to complexity. To emphasize rosnaj generality and importance of the concept of the open system, I have used the same kind of basic diagram for the industrial firm, the city, the living organism, and the cell.

Inconfronted with the problems of the growth and decay of macroecope, he extended the industrial dynamics concept to urban systems Urban Dynamics. In light of its roanay, a series of ten seminars was arranged by the Josiah Macy Foundation. One example is the problem of solid wastes. They do not allow clarification of such ambiguities of expression as “a political system,” “a computer system,” macroscopf “a system of transportation.

In effect all rigidity, sclerosis, and perpetuity of structures or hierarchy is clearly opposed to a system that allows evolution see notes.


Flows of energy and materials raise or lower the levels in the reservoirs. There is nothing mysterious about the “goal” of the cell. The systemic approach rests on the conception of system. These models, established as part macroscole an earlier analytical approach, seek to unite the main elements of a system in order to permit hypotheses concerning the behavior of the system as a whole- by taking into account as much as possible the interdependence of the factors.

When equilibrium is achieved, a given “level” is maintained over time like the concentration of certain molecules in the plasma, or the state of a bank account see page Here the laws of statistics readily apply, enabling one to understand the behavior of the multitude-of disorganized complexity.


The coexistence of the two modes at the heart of an open system, constantly subject to random disturbances from its environment, creates a series of common behavior patterns. Then, in the appropriate computer language, one prepares the equations describing the interactions and connections between the different elements of the system. This particular state is called a steady state ; it is very different from the static state represented by the level of water in a reservoir rpsnay no communication with the environment Fig.

Joël de Rosnay

Zeke Viegas rated it really liked it Sep 20, This is the most complete: The earth shelters the embryo of a body and the beginnings of a spirit. Despite the strengths of these analogical models, thought is dispersed in a maze of disciplines each secluded one from another by communication-tight enclosures.

Every real integration is founded on a previous differentiation. Lists with This Book. The difference between flow variables and state variables is illustrated perfectly by the difference between the profit and loss statement and the balance sheet of a firm. Open systems can decrease entropy locally and can even evolve rossnay states of higher complexity. Our vision of the world is a model. It enables one to make choices among “possible futures.

Rashevsky, the economist K.

This static state, closed to macdoscope environment, allows no resistance to change within its milieu: At the conclusion of the work of his group on the organization of the cortex of the brain, and especially after his discussions with Walter Pitts, a brilliant, twenty-two-year-old mathematician, McCulloch understood that a beginning of the comprehension of cerebral mechanisms and their simulation by machines could come about only through the cooperation of many disciplines.