First, neural networks, mathematical models and rule models are constructed based on statistical data and empirical knowledge.

The more enthusiastic the Renaissance authors wax about the metaphysical significance of human proportions, the less disposed they seem, as a rule, to empirical study and verification.

One of the major obstacles in performing rule induction from empirical data is the inconsistency of information about the object.