Complex Systems Write For Us
Complexity emerges as a post-Newtonian paradigm to approach from a unifying point of view a vast corpus of phenomena that occur in systems composed of several subunits, at the crossroads of the physical sciences, engineering, the environment, life, and the human being. For a long time, the idea prevailed that the perception of systems of this type as complex is derived from incomplete information, in relation to the presence of a large number of variables and parameters that mask the underlying regularities.
Over the years, experimental data and theoretical advances have been obtained that challenge this point of view, showing that complexity is rooted in the fundamental laws of physics. This achievement paves the way for a systematic study of Complexity, which today constitutes a highly interdisciplinary and growing scientific branch, based on the crossing of concepts and tools of non-linear dynamics, physical statistics, probability and information theories, data analysis. and numerical simulation.
The appearance of features that encompass the system as a whole, which in no way can be reduced to the properties of the constituent parts. The emergent properties reflect the primary role of the interactions between the parties. They manifest themselves in the creation of self-organizing, hierarchical, and modular states, where order and coherence are provided by a bottom-up mechanism rather than a top-down design and control.
Classic examples of this behavior on a laboratory scale are found in stressed fluids (for example, Rayleigh-Benard cells in a bottom-heated fluid) and in chemically reactive open systems (for example, bistability, oscillations, models of Turing and wavefronts in the Belousov-Zhabotinsky reaction and others related). systems). Other examples, in natural systems, are provided by communication and control networks in living matter, from the genetic level to the organic and population levels.
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