An Universal Approach for Choosing the Optimal Model when Studying any Physical Phenomenon

The problem of choosing the optimal model of a physical phenomenon or technological process is considered from the point of view of an information-oriented approach. This article proposes a new algorithm with which the minimum achievable uncertainty of the model and the required number of variables taken into account are calculated. Based on the analysis of scientific and technical publications, it is concluded that existing optimization methods do not provide a universal approach to this problem. We proceeded from the hypothesis that any model contains a certain amount of information about the studied object. The results confirm the original hypothesis.