{ "id": "SYS-2026-0001", "kind": "system", "label": "AER-0 — Adaptive Epistemic Runtime MVP", "created_at": "2026-09-08", "updated_at": "2026-09-08", "values": { "eml_status": "EXPERIMENTAL", "eml_evidence_level": "E2", "eml_object_version": "0.1", "eml_canonical_url": "https://evemisslab.com/ai/systems/SYS-2026-0001/", "eml_provenance": { "source": "EveMissLab research collection: Adaptive Epistemic Systems (真本體論13)", "extracted_by": "Splice (Claude Code), reading the canonical UTF-8 sources and each lab's own result reports", "extracted_at": "2026-09-11", "generator": "tools/extract_aes/extract.py", "claim_boundary": "status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports" }, "eml_summary": "A Python + SQLite reference runtime that owns persistent canonical state; a language model is optional and replaceable. Candidate → verify → versioned commit, mandatory provenance for facts and relations, freshness and confidence as separate state, an asymmetric tension scheduler with shock-triggered refresh, capability/container registries, persisted workflow memory (reuse/adapt/create), and a deterministic/rule/Bayesian/heuristic epistemic router. Grown through six comparison rounds into an epistemic commit transaction with SQLite-level mediation, an Ed25519-signed external anchor and a process-separated writer (79 tests at R6). Developed under mssp-tdd-apr as a DEGRADED-TWIN run — no independent twin verification is claimed.", "eml_summary_zh": "以 Python + SQLite 實作、自己持有持久 canonical state 的參考 runtime；語言模型可有可無、可替換。Candidate → verify → 版本化 commit、fact／relation 強制 provenance、新鮮度與信心分開存放、非對稱張力排程與 shock 觸發刷新、capability／container 註冊表、持久化 workflow 記憶（reuse／adapt／create）、以及 deterministic／rule／Bayesian／heuristic 的認識論 router。經六輪比較長成帶 SQLite 層中介、Ed25519 簽章外部 anchor 與程序分離 writer 的 epistemic commit transaction（R6 時 79 個測試）。在 mssp-tdd-apr 下以 DEGRADED-TWIN 開發——不主張獨立 twin 驗證。", "eml_label_zh": "AER-0——自適應認識 runtime MVP", "eml_primary_domain": "AI Architecture", "eml_domains": [ "Agent Systems", "AI Infrastructure" ], "eml_program_id": "PRG-2026-0001", "eml_purpose": "Make the Adaptive Epistemic Systems architecture executable and falsifiable — not to claim AGI.", "eml_architecture": "Input → Parse → Plan → Select capability/container → Execute → Verify → Candidate → Versioned Commit → Render → Learn workflow; refresh runs separately: canonical nodes → TensionScheduler → selected subset → refresh provider → verify → versioned commit. Only the Committer, after a passing Verifier verdict and expected-version check, may mutate canonical state.", "eml_release": [ "AER-0_MVP_v0.1_FINAL.zip", "AER-0_MVP_v0.1_Architecture_Comparison_R1.zip", "AER-0_MVP_v0.1_Architecture_Comparison_R2_LangGraph.zip", "AER-0_MVP_v0.1_Architecture_Comparison_R3_ECT.zip", "AER-0_MVP_v0.1_Architecture_Comparison_R4_Policy_Mutation.zip", "AER-0_MVP_v0.1_Architecture_Comparison_R5_Complete_Mediation.zip", "AER-0_MVP_v0.1_Architecture_Comparison_R6_External_Trust_Anchor.zip" ], "eml_known_limitations": [ "Not implemented: unrestricted generated-code execution, self-modifying runtime, distributed services, real quantum/biological backends, ontology self-rewrite, production authorization/deployment controls." ], "eml_authors": [ "Neo.K (EveMissLab)" ], "eml_ai_collaborators": [ "Sol (GPT-5.6, OpenAI ChatGPT)" ] }, "canonical_url": "https://evemisslab.com/ai/systems/SYS-2026-0001/", "json": "/ai/systems/SYS-2026-0001/index.json", "relations": [ { "id": "REL-2026-0058", "predicate": "released_as", "source": "SYS-2026-0001", "target": "ART-2026-0014", "status": "ACTIVE" }, { "id": "REL-2026-0059", "predicate": "released_as", "source": "SYS-2026-0001", "target": "ART-2026-0015", "status": "ACTIVE" }, { "id": "REL-2026-0060", "predicate": "released_as", "source": "SYS-2026-0001", "target": "ART-2026-0016", "status": "ACTIVE" }, { "id": "REL-2026-0061", "predicate": "released_as", "source": "SYS-2026-0001", "target": "ART-2026-0017", "status": "ACTIVE" }, { "id": "REL-2026-0062", "predicate": "released_as", "source": "SYS-2026-0001", "target": "ART-2026-0018", "status": "ACTIVE" }, { "id": "REL-2026-0063", "predicate": "released_as", "source": "SYS-2026-0001", "target": "ART-2026-0019", "status": "ACTIVE" }, { "id": "REL-2026-0064", "predicate": "released_as", "source": "SYS-2026-0001", "target": "ART-2026-0020", "status": "ACTIVE" }, { "id": "REL-2026-0065", "predicate": "implements", "source": "SYS-2026-0001", "target": "THY-2026-0001", "status": "ACTIVE" }, { "id": "REL-2026-0066", "predicate": "implements", "source": "SYS-2026-0001", "target": "THY-2026-0002", "status": "ACTIVE" }, { "id": "REL-2026-0067", "predicate": "implements", "source": "SYS-2026-0001", "target": "THY-2026-0006", "status": "ACTIVE" }, { "id": "REL-2026-0068", "predicate": "implements", "source": "SYS-2026-0001", "target": "THY-2026-0007", "status": "ACTIVE" }, { "id": "REL-2026-0069", "predicate": "supports", "source": "SYS-2026-0001", "target": "RES-2026-0003", "status": "ACTIVE" }, { "id": "REL-2026-0099", "predicate": "runs_on", "source": "EXP-2026-0001", "target": "SYS-2026-0001", "status": "ACTIVE" }, { "id": "REL-2026-0105", "predicate": "runs_on", "source": "EXP-2026-0002", "target": "SYS-2026-0001", "status": "ACTIVE" }, { "id": "REL-2026-0116", "predicate": "runs_on", "source": "EXP-2026-0003", "target": "SYS-2026-0001", "status": "ACTIVE" }, { "id": "REL-2026-0127", "predicate": "runs_on", "source": "EXP-2026-0004", "target": "SYS-2026-0001", "status": "ACTIVE" }, { "id": "REL-2026-0137", "predicate": "runs_on", "source": "EXP-2026-0005", "target": "SYS-2026-0001", "status": "ACTIVE" }, { "id": "REL-2026-0142", "predicate": "runs_on", "source": "EXP-2026-0006", "target": "SYS-2026-0001", "status": "ACTIVE" }, { "id": "REL-2026-0149", "predicate": "runs_on", "source": "EXP-2026-0007", "target": "SYS-2026-0001", "status": "ACTIVE" } ], "snapshot": { "snapshot_id": "AI-SNAPSHOT-v0.1-fe85b9694a45", "created_at": "2026-09-11T05:00:27Z", "format_version": "0.1", "sedb_baseline": "v0.4B contract; static source content/ai/", "generator_version": "evemisslab-com ai_research 0.1", "object_count": 124, "relation_count": 499, "artifact_count": 58 } }