Papers · Preprint
Hiddenness as a Structural Law of Emergence
Prediction becomes trivial exactly when the hidden state is exposed.
In plain words
When can you predict a system? This paper gives a typed answer. Every system has an autonomous lift with an internal state. If some current observable reads that state, prediction collapses to lookup. If nothing reads it, the predictive content is preserved.
The law has four clauses: dissolution under exposure, preservation under non exposure, a degenerate case when there is nothing to predict, and independence from how strongly the coupling reads the state.
A second theorem shows the framework's notion of current versus predictive is finer than the classic classes P and NP. That extra detail can be lost when you project down to languages.
What it shows
- The Closure Structural Law of hiddenness, in four clauses.
- A granularity mismatch theorem against P and NP.
- The single hypothesis later used in the P vs NP paper.
What it does not claim
Stated at diagnosis grade. It is a structural law, not a complexity theoretic proof.
Cite
Tsiokos, I. (2026). Hiddenness as a Structural Law of Emergence. Zenodo. https://doi.org/10.5281/zenodo.20713577