ABSTRACT
Sustained performance of any system requires regulation and control. In complicated machinery, the principles of servomechanism and feedback control have long been in effective use. The control principles in cybernetics are the error-actuated feedback and homeostasis. The black box concept is a useful principle of cybernetics. The cybernetic principle of black box ignores the internal mechanics of the system but concentrates on the study of the relationship between input and output. In complex systems modeling, we cannot use statistical probability distributions, like normal distribution, if we possess only a few empirical points. The important way is to use the inductive approach for sifting various sets of models whose complexity is gradually increased and to test them for their accuracy. The theory of self-organization modeling is based on the methods of complete, incomplete and mathematical induction. In modeling one often uses several external criteria such as regularity criterion, minimum bias or consistent criterion, and prediction criterion, combined criteria, and balance-of-variables criterion.
