Preprint / scholarly article
Self-Concealing Information and Observer-Modifying Dynamics
- Published
- DOI
- 10.5281/zenodo.19161562
Abstract
This preprint develops a measurable-state theory for observer-modifying and self-concealing information in hidden-state controlled systems. It formalizes when diagnosis degrades or recovers under internal blindness, external anchors, structural insulation, and delayed or recurring audit.
Keywords
- agentic AI
- observer-modifying information
- self-concealing information
- internal blindness
- measurable-state theory
- comparison of experiments
- statistical experiments
- Le Cam deficiency
- testing deficiency
- total variation distance
- Markov kernels
- hidden-state dynamical systems
- controlled stochastic processes
- POMDP
- sequential detection
- changepoint detection
- external anchors
- structural insulation
- restricted interfaces
- delayed audit
- recurring audit
- information-flow control
- auditability