{ "schema_version": 1, "as_of": "2026-09-27", "as_of_commit": "f9d926a9209dc17a11fbe29c6c82074824f75aa0", "title": "MHRN scientific maturity timeline", "scope_note": "Scientific maturity is intentionally separate from engineering maturity. Scores summarize registered questions, frozen protocols, collected DATA, human-reviewed EVID, independent replication and attribution. They do not measure intelligence, consciousness or biological equivalence. Gewichteter Bearbeitungsindex, keine Wahrscheinlichkeit. Berechnungskorrektur vom 24.10.2026 bei unveraenderten Kriterien; kein neuer Evidenzgewinn. Pflichtpruefungen gelten unabhaengig vom Prozentwert.", "integrity_note": "Repository checks reduce attribution and text-recycling risk but cannot certify plagiarism-freedom. External similarity review and human source verification remain pre-submission requirements.", "status_scale": { "met": 1, "partial": 0.5, "open": 0, "not_applicable": null }, "weights": { "research_question": 0.15, "protocol": 0.2, "data": 0.2, "reviewed_evidence": 0.2, "independent_replication": 0.15, "attribution": 0.1 }, "stages": [ { "stage": 0, "name": "Einzelne Nervenzelle", "score": 0.925, "status": "advanced", "claim_boundary": "Die eingefrorene Stage-0-Konformitätsstudie stützt den numerischen Modellvertrag für Izhikevich-2003 und lif-current-v1 im deklarierten Operating Envelope. Das ist Modell-/Softwarekonformität, keine biologische Gleichwertigkeit, keine allgemeine Langzeittrajektorien-Identität und keine unabhängige Replikation.", "criteria": [ { "id": "research_question", "status": "met", "label": "Explizite Forschungsfrage/Hypothesen", "sources": [ "research/registry/questions.empirical.yaml", "RQ-EVAL-006", "research/registry/hypotheses.empirical.yaml", "H-EVAL-006-A", "H-EVAL-006-B", "H-EVAL-006-C" ] }, { "id": "protocol", "status": "met", "label": "Vorab eingefrorenes konfirmatorisches Einzelzell-Protokoll", "sources": [ "research/preregistrations/operational/single_neuron_conformance_v2.json", "scripts/stage0_conformance_v2_confirm.py", "tests/test_single_neuron_contract.py" ] }, { "id": "data", "status": "met", "label": "Quellengebundene konfirmatorische Referenz-DATA", "sources": [ "research/experiments/EXP-STAGE0-20260916-MODEL-CONFORMANCE-V2/DATA/confirmatory_result.json", "research/experiments/EXP-STAGE0-20260916-MODEL-CONFORMANCE-V2/report.md", "research/generated/verification/single_neuron_scientific_readiness.json" ] }, { "id": "reviewed_evidence", "status": "met", "label": "Human Review und kanonische EvidenceEngine-Promotion für den scoped Stage-0-Claim abgeschlossen", "sources": [ "research/experiments/EXP-STAGE0-20260916-MODEL-CONFORMANCE-V2/human_scientific_review.json", "research/experiments/EXP-STAGE0-20260918-MODEL-CONFORMANCE-V2-PROMO-R1/manifest.json", "research/experiments/EXP-STAGE0-20260918-MODEL-CONFORMANCE-V2-PROMO-R1/human_review.json", "research/registry/evidence/EVID-2026-18.json" ] }, { "id": "independent_replication", "status": "partial", "label": "Externer Brian2-Referenzvergleich und interne Promotion-Replikation vorhanden; keine unabhängig autorisierte Replikation", "sources": [ "research/preregistrations/operational/single_neuron_conformance_v2.json", "research/experiments/EXP-STAGE0-20260916-MODEL-CONFORMANCE-V2/DATA/confirmatory_result.json", "research/generated/verification/single_neuron_scientific_readiness.json" ] }, { "id": "attribution", "status": "met", "label": "Modell-, Literatur- und Quellenattribution", "sources": [ "research/specifications/NEURON_MODEL_EXPERIMENT_AXIS.md", "research/registry/questions.empirical.yaml", "research/publications/2026-09-17_recursive-epistemics_v1.8/REFERENCES.md", "research/publications/2026-09-17_recursive-epistemics_v1.8/parts/03_research_object.md" ] } ], "next_scientific_steps": [ "Kanonische EVID-Promotion für CLAIM-EVAL-006 ist mit EVID-2026-18 abgeschlossen.", "Unabhängige Replikation separat definieren und außerhalb derselben Autoren-/Toolkette durchführen; erst sie kann die verbleibenden 7,5 % schließen.", "Die Stage-0-Aussage weiterhin strikt auf den präregistrierten V2-Modellvertrag begrenzen; keine biologische Gleichwertigkeit oder universelle Langzeittrajektorienidentität ableiten." ], "criterion_contracts": { "reviewed_evidence": { "weight": 0.2, "partial_semantics": "Human scientific review completed with a scoped decision, but canonical EVID registration is not yet complete.", "met_semantics": "Human scientific review completed and the scoped claim is registered through the canonical EvidenceEngine promotion path.", "decomposition": { "human_scientific_review_fraction": 0.5, "canonical_evidence_engine_promotion_fraction": 0.5 }, "anti_gaming_rule": "A positive result alone cannot change this criterion. The partial state reflects completion of the human-review sub-gate, not result favorability." }, "independent_replication": { "weight": 0.15, "partial_semantics": "External reference comparison exists, but no independently authored replication has been completed.", "met_semantics": "A preregistered replication meeting the explicit independence definition has been completed and reviewed.", "decomposition": { "external_reference_comparison_fraction": 0.5, "independent_authorship_replication_fraction": 0.5 }, "anti_conflation_rule": "An EvidenceEngine-conformant internal rerun can never satisfy the independent-authorship half of this criterion." } } }, { "stage": 1, "name": "Kleines SNN", "score": 0.85, "status": "active", "claim_boundary": "Stage 1 besitzt jetzt zwei getrennte kanonische, human-reviewte EVID-Linien: Topologie EVID-2026-19 im 64-Neuronen/246-Kanten-Regime und Temporal Order EVID-2026-20 im sechsneuronigen Zweikanal-Task. Der Temporal-Human-Review dokumentiert Perfect-Score-Sättigung und die simultane Bedingung als nicht-inferentiellen Task-Adequacy-Control. Das begründet weder Kognition, Lernen/Gedächtnis, Skalierbarkeit, biologische Äquivalenz, 5D-Überlegenheit noch unabhängige Replikation.", "criteria": [ { "id": "research_question", "status": "met", "label": "Explizite registrierte Stage-1-Forschungsfragen und Hypothesen", "sources": [ "research/registry/questions.yaml", "RQ-SNN-003", "H-SNN-003-B", "RQ-TEMP-002", "H-TEMP-002-A" ] }, { "id": "protocol", "status": "met", "label": "Präregistrierte wissenschaftliche Small-SNN-Protokolle über den Softwarevertrag hinaus", "sources": [ "research/preregistrations/PREREG-S1-TOPO-V2.json", "research/preregistrations/PREREG-S1-TOPO-V3-R1-TIME-RESOLVED.json", "research/preregistrations/PREREG-S1-TEMP-ORDER-V2.json", "research/preregistrations/PREREG-S1-TEMP-PROMO-R1.json" ] }, { "id": "data", "status": "met", "label": "Source-bound Stage-1-DATA aus zentraler Topologielinie und task-basierter Temporal-Order-Linie", "sources": [ "research/experiments/EXP-S1-TOPO-V2-20260918", "research/experiments/EXP-S1-TOPO-V3-R1-20260918", "research/experiments/EXP-S1-TEMP-ORDER-V2-20260919", "research/experiments/EXP-S1-TOPO-PROMO-R1-20260927", "research/experiments/EXP-S1-TEMP-PROMO-R1-20260927" ] }, { "id": "reviewed_evidence", "status": "met", "label": "Human Review + EvidenceEngine-Promotion für Topologie- und Temporal-Order-Claims", "sources": [ "CLAIM-S1-TOPO-001", "EVID-2026-19", "research/experiments/EXP-S1-TOPO-PROMO-R1-20260927/human_review.json", "CLAIM-S1-TEMP-001", "EVID-2026-20", "research/experiments/EXP-S1-TEMP-PROMO-R1-20260927/human_review.json" ] }, { "id": "independent_replication", "status": "open", "label": "Unabhängige Referenz-/Cross-Implementation-Replikation offen", "sources": [ "INDEPENDENT_REPLICATION.md", "research/registry/stage1_baseline.json", "research/decisions/2026-09-25_stage1_scientific_consolidation.md" ] }, { "id": "attribution", "status": "met", "label": "Methoden-, Modell-, Literatur- und Claim-Grenzen dokumentiert", "sources": [ "research/publications/2026-09-17_recursive-epistemics_v1.8/parts/04_empirical_programme.md", "research/publications/papers/2026-09-20_topology-dynamics_v0.1/PAPER.md" ] } ], "next_scientific_steps": [ "Topologie als unabhängig implementierte Referenz-/Cross-Implementation-Replikation präregistrieren, um den nächsten 7,5-%-Schritt zu adressieren.", "Temporal-Order-Decoder/Task separat mit schwierigeren, präregistrierten Gap-/Channel-Swap-/Perturbationskontrollen stress-testen; dies ändert EVID-2026-20 nicht rückwirkend.", "CLAIM-S1-EFFICIENCY-001 / H-SNN-003-C getrennt als prospektive untested Effizienzlinie weiterentwickeln; keine post-hoc Effizienzbeobachtung als EVID verwenden." ], "criterion_contracts": { "reviewed_evidence": { "weight": 0.2, "partial_semantics": "Human scientific review of the Stage-1 topology and Temporal-Order interpretations is complete, but canonical EvidenceEngine EVID registration is not complete.", "met_semantics": "Human scientific review is complete and a scoped Stage-1 claim is registered through the canonical EvidenceEngine promotion path.", "decomposition": { "human_scientific_review_fraction": 0.5, "canonical_evidence_engine_promotion_fraction": 0.5 }, "anti_gaming_rule": "A positive DATA result or accepted interpretation cannot by itself create EVID or complete this criterion." }, "independent_replication": { "weight": 0.15, "partial_semantics": "A separately controlled external or independently authored replication contributes only when the explicit independence definition is satisfied.", "met_semantics": "A preregistered replication meeting the explicit independence definition has been completed and reviewed.", "anti_conflation_rule": "The V3-R1 internal replication and the separate Temporal-Order task can never be counted as independent replication of the topology claim." } } }, { "stage": 2, "name": "Stabiles rekurrentes SNN", "score": 0.75, "status": "advanced", "claim_boundary": "Stabile deterministische Runs stützen Stabilität im geprüften Bereich; sie sind kein Nachweis von Gedächtnis oder Kognition.", "criteria": [ { "id": "research_question", "status": "met", "label": "Registrierte Forschungsfragen", "sources": [ "research/registry/questions.yaml", "RQ-SNN-001" ] }, { "id": "protocol", "status": "met", "label": "Long-run/Determinismus-Protokolle", "sources": [ "research/protocols", "tests/test_recurrent_snn_contract.py" ] }, { "id": "data", "status": "met", "label": "Ausgeführte quellengebundene DATA", "sources": [ "research/experiments/EXP-BATCH-20260908200906-01" ] }, { "id": "reviewed_evidence", "status": "partial", "label": "Wissenschaftliche Auswertung mit enger Claim-Grenze", "sources": [ "research/experiments/EXP-BATCH-20260908200906-01/reports/AIRR-2026-0001.json" ] }, { "id": "independent_replication", "status": "open", "label": "Unabhängige Replikation", "sources": [] }, { "id": "attribution", "status": "met", "label": "Methoden-/Quellenbindung", "sources": [ "research/publications/2026-09-13_recursive-epistemics_v1.5/FORSCHUNGSBERICHT.md" ] } ], "next_scientific_steps": [ "Task-relevante Rekurrenz-Ablation gegen feed-forward/yoked controls durchführen.", "Skalierung getrennt von Stabilität prüfen.", "Unabhängige Replikation registrieren." ] }, { "stage": 3, "name": "Plastisches Nervengewebe", "score": 0.65, "status": "advanced", "claim_boundary": "STDP, Drei-Faktor-Lernen, Homöostase und Strukturplastizität sind implementierte Mechanismen; ihre wissenschaftliche Wirksamkeit bleibt interventions- und EVID-gebunden.", "criteria": [ { "id": "research_question", "status": "met", "label": "Registrierte RQ/Hypothesen", "sources": [ "RQ1", "RQ3", "RQ5", "RQ10" ] }, { "id": "protocol", "status": "met", "label": "Kontrollierte Lern- und Ablationsprotokolle", "sources": [ "src/experiments/learning_lab.py", "scripts/run_stage3_reference.py" ] }, { "id": "data", "status": "met", "label": "Ausgeführte DATA / Referenzen", "sources": [ "research/generated/verification/plastic_neural_tissue_reference_alpha3.json" ] }, { "id": "reviewed_evidence", "status": "open", "label": "Promotete menschlich geprüfte EVID", "sources": [] }, { "id": "independent_replication", "status": "open", "label": "Unabhängige Replikation", "sources": [] }, { "id": "attribution", "status": "met", "label": "Mechanismus-Attribution", "sources": [ "research/publications/2026-09-13_recursive-epistemics_v1.5/FORSCHUNGSBERICHT.md" ] } ], "next_scientific_steps": [ "Präregistrierte learning-on/off-, sham- und information-destroyed Kontrollen ausführen.", "Held-out Generalisierung statt Gewichtsänderung als Endpunkt prüfen.", "R2-Evidenzschluss mit externer Prüfung abschließen." ] }, { "stage": 4, "name": "Spezialisierte neuronale Areale", "score": 0.65, "status": "advanced", "claim_boundary": "Modality-specific pathways und Gateway-Verträge sind technisch vorhanden; E01-E05 bleiben DATA bis zur unabhängigen wissenschaftlichen Prüfung.", "criteria": [ { "id": "research_question", "status": "met", "label": "MSBA-Forschungsfragen registriert", "sources": [ "RQ-MSBA-E01", "RQ-MSBA-E02", "RQ-MSBA-E03", "RQ-MSBA-E04", "RQ-MSBA-E05" ] }, { "id": "protocol", "status": "met", "label": "Matched-control Protokolle", "sources": [ "src/experiments/msba_lab.py" ] }, { "id": "data", "status": "met", "label": "E01-E05 DATA vorhanden", "sources": [ "research/experiments/EXP-BATCH-20260914074039-90", "research/experiments/EXP-BATCH-20260914074039-94" ] }, { "id": "reviewed_evidence", "status": "open", "label": "Unabhängig geprüfte EVID-Promotion", "sources": [] }, { "id": "independent_replication", "status": "open", "label": "Unabhängige Replikation", "sources": [] }, { "id": "attribution", "status": "met", "label": "Literatur-/Methodenattribution", "sources": [ "research/publications/2026-09-14_stage4-specialized-areas_v1.5-addendum" ] } ], "next_scientific_steps": [ "E01-E05 unabhängig reviewen und nur freigegebene Claims promoten.", "Dynamisch materialisierte multimodale Netzwerke getrennt skalieren.", "Codec/Gateway-Beitrag durch Frozen/Random/Shuffle-Ablationen isolieren." ] }, { "stage": 5, "name": "Integriertes künstliches Nervensystem", "score": 0.65, "status": "advanced", "claim_boundary": "Der geschlossene Regelkreis ist in einer synthetischen deterministischen Umgebung belegt; reale Embodiment- oder biologische Interozeptionsclaims sind nicht gedeckt.", "criteria": [ { "id": "research_question", "status": "met", "label": "Embodiment-RQ/Hypothesen registriert", "sources": [ "RQ-EMB-001", "RQ6", "RQ7", "RQ8", "RQ9" ] }, { "id": "protocol", "status": "met", "label": "Closed-loop Referenzprotokoll", "sources": [ "research/experiments/EXP-STAGE5-20260914-INTEGRATED-NERVOUS-SYSTEM" ] }, { "id": "data", "status": "met", "label": "Closed-loop DATA vorhanden", "sources": [ "research/experiments/EXP-STAGE5-20260914-INTEGRATED-NERVOUS-SYSTEM" ] }, { "id": "reviewed_evidence", "status": "open", "label": "Promotete EVID", "sources": [] }, { "id": "independent_replication", "status": "open", "label": "Unabhängige closed-loop Replikation", "sources": [] }, { "id": "attribution", "status": "met", "label": "Quellen-/Grenzenattribution", "sources": [ "research/publications/2026-09-14_stage5-integrated-nervous-system_v1.5-addendum" ] } ], "next_scientific_steps": [ "Matched-disturbance, yoked replay und interrupted-feedback Kontrollen ausführen.", "H-EMB-001-B präregistriert testen.", "Reale Adapter als separaten safety-gated Studienzweig behandeln." ] }, { "stage": 6, "name": "Gedächtnis und Weltmodell", "score": 0.45, "status": "active", "claim_boundary": "Working/episodic foundations und Ein-Schritt-Vorhersage sind keine Semantization, kein hierarchisches Predictive Coding und kein generatives Weltmodell.", "criteria": [ { "id": "research_question", "status": "met", "label": "Memory/World-model RQ registriert", "sources": [ "RQ-MEM-002", "RQ-WM-001" ] }, { "id": "protocol", "status": "partial", "label": "Mechanismus-spezifische confirmatory Protokolle", "sources": [ "research/experiments/EXP-EMP-20260910/016-memory_delayed_information_v1", "research/experiments/EXP-EMP-20260910/017-world_model_prediction_v1" ] }, { "id": "data", "status": "partial", "label": "SNN-involved confirmatory DATA", "sources": [ "research/experiments/EXP-EMP-20260910/016-memory_delayed_information_v1", "research/experiments/EXP-EMP-20260910/017-world_model_prediction_v1" ] }, { "id": "reviewed_evidence", "status": "open", "label": "Menschlich freigegebene EVID", "sources": [] }, { "id": "independent_replication", "status": "open", "label": "Unabhängige Replikation", "sources": [] }, { "id": "attribution", "status": "met", "label": "Related-work/Claim-Grenzen dokumentiert", "sources": [ "research/publications/2026-09-15_stage6-memory-world-model_v1.5-addendum" ] } ], "next_scientific_steps": [ "Semanticization als expliziten Mechanismus mit Replay/Konsolidierung und Ablationen definieren.", "Prediction Error neuronalen Mechanismus statt Telemetrie implementieren und testen.", "Mehrschrittiges aktionskonditioniertes Weltmodell gegen reine Beobachtungsprädiktion testen.", "Confirmatory SNN-involved DATA und unabhängige Replikation erzeugen." ] }, { "stage": 7, "name": "Selbstmodell und verkörperte Identität", "score": 0.325, "status": "early", "claim_boundary": "Versionierte technische Identität und Behavior State sind Grundlagen, aber kein kausales Selbstmodell und kein Bewusstseinsnachweis.", "criteria": [ { "id": "research_question", "status": "partial", "label": "Selbstmodell-spezifische RQ", "sources": [ "RQ-PROFILE-001", "RQ6", "RQ7" ] }, { "id": "protocol", "status": "partial", "label": "Kausale self/other Interventionsprotokolle", "sources": [ "research/experiments/EXP-EMP-20260910/018-behavior_profile_control_v1" ] }, { "id": "data", "status": "partial", "label": "Kausale Selbstmodell-DATA", "sources": [ "research/experiments/EXP-EMP-20260910/018-behavior_profile_control_v1" ] }, { "id": "reviewed_evidence", "status": "open", "label": "Promotete EVID", "sources": [] }, { "id": "independent_replication", "status": "open", "label": "Unabhängige Replikation", "sources": [] }, { "id": "attribution", "status": "partial", "label": "Explizite Related-work-Zuordnung", "sources": [ "research/frontiers/STAGES_8_10_FOUNDATIONS.md" ] } ], "next_scientific_steps": [ "Observer-only self-versus-external action attribution präregistrieren.", "Coupled-state restore als notwendige technische Vorbedingung schließen.", "Begriffe Selbstmodell/Selbst ausschließlich operational verwenden." ] }, { "stage": 8, "name": "Autonome lebenslange Entwicklung", "score": 0.4, "status": "planned", "claim_boundary": "Interferenz-Screens und Forschungsplanung sind keine Evidenz für autonomes lebenslanges Lernen.", "criteria": [ { "id": "research_question", "status": "met", "label": "Continual-learning RQ registriert", "sources": [ "RQ-LIFE-001", "RQ-GEN-001", "RQ-REPL-001" ] }, { "id": "protocol", "status": "partial", "label": "Präregistrierbare Retention-/Interferenzprotokolle", "sources": [ "research/experiments/STAGES_8_10_EXPERIMENT_BACKLOG.md" ] }, { "id": "data", "status": "partial", "label": "Vorläufer-DATA", "sources": [ "research/experiments/EXP-LIFE-0001-R1" ] }, { "id": "reviewed_evidence", "status": "open", "label": "Promotete EVID", "sources": [] }, { "id": "independent_replication", "status": "open", "label": "Unabhängige Replikation", "sources": [] }, { "id": "attribution", "status": "partial", "label": "Related-work-Mapping", "sources": [ "research/frontiers/STAGES_8_10_FOUNDATIONS.md" ] } ], "next_scientific_steps": [ "Shared-network continual-learning protocol ohne Learned-State-Reset ausführen.", "Replay/Consolidation und Stabilitäts-Plastizitäts-Gating getrennt abladieren.", "Resource-matched Baselines und unabhängige Replikation verlangen." ] }, { "stage": 9, "name": "Hochintegrierte künstliche Kognition", "score": 0.3, "status": "planned", "claim_boundary": "Architektur- und Experimententwürfe sind keine beobachtete integrierte Kognition.", "criteria": [ { "id": "research_question", "status": "met", "label": "Kognitions-RQ registriert", "sources": [ "RQ-CNS-103", "RQ-CNS-105", "RQ-CNS-110", "RQ-MEM-002", "RQ-WM-001" ] }, { "id": "protocol", "status": "partial", "label": "Operationalisierte, kontrastierende Protokolle", "sources": [ "research/experiments/STAGES_8_10_EXPERIMENT_BACKLOG.md" ] }, { "id": "data", "status": "open", "label": "Stage-9 confirmatory DATA", "sources": [] }, { "id": "reviewed_evidence", "status": "open", "label": "Promotete EVID", "sources": [] }, { "id": "independent_replication", "status": "open", "label": "Unabhängige Replikation", "sources": [] }, { "id": "attribution", "status": "partial", "label": "Related-work-Mapping", "sources": [ "research/frontiers/STAGES_8_10_FOUNDATIONS.md" ] } ], "next_scientific_steps": [ "Attention, planning, multimodale Integration und Konsolidierung einzeln operationalisieren.", "Matched-budget Ablationen definieren.", "Keine Fähigkeit aus UI-/Telemetrieintegration ableiten." ] }, { "stage": 10, "name": "Bewusstseinsforschung", "score": 0.3, "status": "frontier", "claim_boundary": "Diese Stufe ist ausschließlich eine Forschungs- und Governance-Frontier. Kein Score begründet Bewusstsein, Sentienz oder moralischen Status.", "criteria": [ { "id": "research_question", "status": "met", "label": "Operationale Frontier-RQ registriert", "sources": [ "RQ-CNS-101", "RQ-CNS-108", "RQ-CNS-109", "RQ-EPI-101", "RQ-WEL-101" ] }, { "id": "protocol", "status": "partial", "label": "Ethik-/Abbruch-/Interventionsrahmen", "sources": [ "research/protocols/COGNITION_CONSCIOUSNESS.md", "research/ethics/AI_WELFARE_POLICY.md" ] }, { "id": "data", "status": "open", "label": "Claim-relevante DATA", "sources": [] }, { "id": "reviewed_evidence", "status": "open", "label": "Promotete EVID", "sources": [] }, { "id": "independent_replication", "status": "open", "label": "Unabhängige adversariale Replikation", "sources": [] }, { "id": "attribution", "status": "partial", "label": "Theorie-/Related-work-Mapping", "sources": [ "research/frontiers/STAGES_8_10_FOUNDATIONS.md" ] } ], "next_scientific_steps": [ "Kontrastierende operationalisierte Vorhersagen präregistrieren.", "Ethik- und Stop-Governance vor Experimenten extern prüfen.", "Unabhängige adversariale Replikation als Mindestbedingung festschreiben." ] } ], "calculation_method": "sum(weights[criterion.id] * status_scale[criterion.status]); stage mean is unweighted; no implicit caps; all six criteria mandatory", "method_document": "docs/05-quality/SCIENTIFIC_MATURITY_METHOD.md", "score_recalculated_on": "2026-10-24" }