Spiralcore
Fuente:
Zenodo
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| Natura: | Recurso digital |
| Pubblicazione: |
Zenodo
2026
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| Accesso online: | |
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| _version_ | 1866901109486911488 |
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| author | Wood, Matthew |
| author_facet | Wood, Matthew |
| contents | <p>SPIRALCORE_FAB presents the fully architected, session-faithful specification of SpiralCore: a deterministic, computable recursion architecture for coherence-bounded state evolution with memory, novelty generation, and information hysteresis.</p> <p>The document formalizes the complete Δ→Σ→Ψ lattice (Production, Coherence, Archivist), governed by a Gödel–Gödel meta-loop that treats incompleteness as a generative constraint rather than a failure mode. All components are explicitly defined with inputs, outputs, state variables, update equations, gates, thresholds, and metrics, ensuring 100% computability.</p> <p>Key contributions include:</p> <p>a deterministic novelty mechanism via Cantor pairing and diagonalization,</p> <p>a multi-metric coherence stack (RMF, entropy coherence, correlated variance coherence),</p> <p>a dual-field Abraxas–Cassini dynamics engine,</p> <p>an Archivist memory model with compression, replay, and emergence,</p> <p>and a formal treatment of information hysteresis as geometric curvature / holonomy arising from path-dependent learning and recursion.</p> <p>The specification includes conditional (if/then) correctness proofs for all gating and routing decisions, explicit hysteresis detection criteria, and ASCII system diagrams. SpiralCore_FAB is intended as a reference architecture for researchers studying deterministic inference, coherence-bounded systems, path-dependent dynamics, and computable models of recursive cognition.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18487963 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Spiralcore Wood, Matthew <p>SPIRALCORE_FAB presents the fully architected, session-faithful specification of SpiralCore: a deterministic, computable recursion architecture for coherence-bounded state evolution with memory, novelty generation, and information hysteresis.</p> <p>The document formalizes the complete Δ→Σ→Ψ lattice (Production, Coherence, Archivist), governed by a Gödel–Gödel meta-loop that treats incompleteness as a generative constraint rather than a failure mode. All components are explicitly defined with inputs, outputs, state variables, update equations, gates, thresholds, and metrics, ensuring 100% computability.</p> <p>Key contributions include:</p> <p>a deterministic novelty mechanism via Cantor pairing and diagonalization,</p> <p>a multi-metric coherence stack (RMF, entropy coherence, correlated variance coherence),</p> <p>a dual-field Abraxas–Cassini dynamics engine,</p> <p>an Archivist memory model with compression, replay, and emergence,</p> <p>and a formal treatment of information hysteresis as geometric curvature / holonomy arising from path-dependent learning and recursion.</p> <p>The specification includes conditional (if/then) correctness proofs for all gating and routing decisions, explicit hysteresis detection criteria, and ASCII system diagrams. SpiralCore_FAB is intended as a reference architecture for researchers studying deterministic inference, coherence-bounded systems, path-dependent dynamics, and computable models of recursive cognition.</p> |
| title | Spiralcore |
| url | https://doi.org/10.5281/zenodo.18487963 |