RCS-CS-001 — Time-Bounded Computation and Admissible Execution Under Irreversibility Constraints

This publication defines the constraints governing computation and artificial intelligence systems under recoverability-bounded conditions.

Building on RCS-CL-001 (Core Invariant and Closure Theorem) and RCS-MF-001 (Recoverability-Bounded Systems: Formal Structure, Geometry, and Dynamics), it formalizes the temporal and structural limits under which computational processes, decision systems, and artificial intelligence outputs remain admissible.

The document demonstrates that computation, prediction, and optimization are admissible only if completed within the recoverability window of the system state. A computation that is correct but executed after irreversible transition is non-admissible.

It introduces the concept of time-bounded computation, defines execution constraints for decision systems, and establishes admissibility conditions for artificial intelligence under real-time irreversibility.

No new admissibility conditions are introduced. This work provides a computational interpretation of the invariant defined in RCS-CL-001 and the formal structure defined in RCS-MF-001.

This document provides the computational interpretation of recoverability-bounded admissibility and should be read in conjunction with RCS-CL-001 and RCS-MF-001. It does not extend the admissibility condition but applies it to computation and artificial intelligence systems.