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1.3.1. The basic principles of complexification

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In conventional autonomous systems, the dynamics of evolution are regulated by the eight archetypal changes, grouped here two by two:

 – at the interaction level: the relationship between the network elements will be able to be expressed in a more or less strong way and will identify either aggregations of elements or unbundling. Hence, the notion of structure that will appear through the operations of “division” and “combination”;

 – at the control level of the element: whether it is a centralized system or not, a network or not, the control can be supervised or controlled by a coordination element. It follows that we will have elements characterized by “autonomy” or “dependence”;

 – at the activity level: the functions or programs provided by each element will be expressed or inhibited depending on the environment. Like active sites located on a genome in the field of proteomics, we will have two states: “life” and “death”;

 – at the nature of the program level: the element or cell will have to adapt to its environment or may remain generic. It is said that there is “specification” (specialization) or “generalization”.

The first two criteria play a role in the structure, architecture or even the configuration of the upper assembly thus achieved. The last two criteria correspond to the notion of function and make it possible to organize and ensure the functional role of aggregation at a higher level. For example, and in a simplified way, the synthesis of macromolecules is subject to the process of complexification of a category, according to a given strategy (external elements “to be absorbed”, set of objects and links “to be deleted”, etc.). This explains the appearance of more complex objects during the development of a system, during its “growth” and later during its evolution. However, this complexification is carried out according to a set of constraints: economic means with the lowest material, temporal, computer and energy costs.

Complex Decision-Making in Economy and Finance

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