
This note introduces Invariant-Preserving Dissipative Computation (IPDC), a mathematical framework for adaptive systems whose stability and safety arise from global invariants rather than from optimization objectives, logical constraints, or external supervision. Computation is framed as the evolution of a bounded dynamical system constrained by a non-increasing scalar functional, ensuring that all trajectories remain finite and converge to stable regimes. The contribution establishes conceptual and mathematical priority for a class of computational systems in which adaptation, memory, and regulation emerge from dissipation and invariant enforcement. The framework is substrate-agnostic and applies to analog, hybrid, or digital implementations. Implementation details are intentionally omitted. v0.0.0 — Fixed nothing. Everything stable.
Lyapunov stability, adaptive regulation, dissipative systems, invariant preservation, intrinsic safety, bounded dynamics, non-optimizing computation
Lyapunov stability, adaptive regulation, dissipative systems, invariant preservation, intrinsic safety, bounded dynamics, non-optimizing computation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
