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This article deals with the design of structures with the quality of self-organization, applying emergency phenomena in particle aggregation, where a transformation of energy takes place towards structures and states of great complexity from rules of low level of sophistication, when there is an exchange of matter and energy with the outside, and are far from equilibrium. This I+D+i design project focuses on the scientific method, which means observing the phenomenon to answer: What training principles attributable to self-organization underlie the studied phenomenon? and, thus, being able to hypothesize or simulate a model from a Grasshopper environment fed with oversampling methods through Machine Learnig techniques, which allows us to question: How to apply the principles of formation resulting from the emergency phenomenon studied, to the design of self-organized structures? The results conclude that the quality of self-organization of these emerging structural systems is directly proportional to the similarity between their parts, their nesting capacity, the energy levels with which they interact, and their environment, which allows progress in research at scales and open up new future design and manufacturing possibilities.