The study shows that order dependence in metacognitive judgments prevents faithful Boolean representation. By modeling evaluations as state‑transforming operations, the authors separate back‑action from observable output. The result suggests that AI agents may need to account for non‑commutative evaluation order when designing introspection modules. Such insights could improve the reliability of self‑monitoring systems in complex decision pipelines.