For inexact information in the SCI hierarchy, replace every exact evaluation by a family of admissible approximations satisfying
An algorithm must converge for every admissible choice of approximations, not merely for one favored encoding.
For continuous nonsingular maps , take the evaluations to be arbitrary point queries. At precision , a query at returns any satisfying
Thus the information set contains all triples satisfying this inequality. This is a perfect measurement device for a dynamical system: it can sample any state, at any requested accuracy, with no fixed noise floor. The finite-information rule still requires each terminating computation to make only finitely many such measurements.

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