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Report . 2026
License: CC BY
Data sources: Datacite
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
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Recoverability Sciences — Unified Logic, Computation, and Inferential Systems: A Unified Formal Framework for Recoverability Logic, Operational Computation, Recursive Inference, Decision Systems, and Admissibility-Preserving Reasoning Under Irreversibility Constraints

Authors: Sanchez, Noelia; Interval Studio, United Kingdom;

Recoverability Sciences — Unified Logic, Computation, and Inferential Systems: A Unified Formal Framework for Recoverability Logic, Operational Computation, Recursive Inference, Decision Systems, and Admissibility-Preserving Reasoning Under Irreversibility Constraints

Abstract

Recoverability Sciences — Unified Logic, Computation, and Inferential Systems formalizes the inferential and computational architecture governing: recoverability-preserving logic, admissibility reasoning, recursive inference systems, operational decision architectures, irreversibility-bounded computation, continuity-preserving evaluation, dependency-topological inferential propagation, and machine-operational reasoning across the Recoverability Sciences ecosystem and the broader Recoverability-Constrained Systems corpus. The publication establishes: inferential primitives, operational logic systems, admissibility calculus, recursive reasoning structures, recoverability-preserving computation, decision-governance systems, uncertainty-aware inferential systems, continuity-preserving evaluation architectures, recursive admissibility inference, operational state reasoning structures, machine-operational logic systems, irreversibility-bounded computational conditions, as recursively interoperable inferential structures governing continuity-preserving operational reasoning across continuity-bearing systems. The publication functions as: the inferential and computational layer beneath continuity science, the logical substrate above recursively closed continuity mathematics, and the continuity-preserving reasoning architecture operating within the Recoverability-Constrained Systems framework. Inferential continuity derives from: TCB-001 - Terminal Conceptual Boundary, CO-001 - Continuity Ontology, CM-001 - Continuity Mathematics, and operates mathematically through recursively closed continuity mathematics governing recoverability-preserving inferential propagation across dependency-constrained systems. The framework further establishes: inferential continuity, dependency-topological inferential propagation, recursive admissibility reasoning, continuity-preserving computation, operational reasoning stabilization, and recoverability-preserving decision systems as foundational inferential structures operating beneath continuity science, substrate sciences, and civilization continuity architectures. This publication formalizes the inferential and computational layer governing recoverability-preserving reasoning, admissibility calculus, recursive inference systems, dependency-topological inferential propagation, and continuity-preserving operational computation within the Recoverability Sciences ecosystem and the broader Recoverability-Constrained Systems corpus.

Keywords

Recoverability Sciences, Logic Systems, Computational Systems, Inferential Systems, Systems Science, Recoverability, Irreversibility, Recursive Inference, Admissibility Calculus, Decision Systems, Operational Logic, Computational Governance, Recursive Computation, Continuity-Preserving Reasoning, Autonomous Systems, Formal Logic, Scientific Computation, Inferential Continuity, Machine Reasoning, Complex Systems

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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