ResearchRES-2026-0001v0.1
Blind derivation of an adaptive epistemic architecture
Starting only from first principles — temporally heterogeneous world knowledge, canonical symbolic state, adaptive representation space, capability memory, substrate-neutral compute — the eleven-paper series derives a candidate architecture and then asks the uncomfortable question the derivation raised: why does it look so much like modern compound AI, and does any of the difference survive into a runtime?
Research questions
research_questions- What does an intelligent system look like when derived from world-state, freshness, memory and reuse requirements rather than from existing AI paradigms?
- Which of its architectural semantics — canonical state ownership, candidate→verify→commit, mandatory provenance, tension-scheduled refresh — survive comparison with progressively stronger baselines?
- If the differences do not survive, is the convergence itself the phenomenon to explain (an intelligent architecture attractor)?
Claims
claims- World knowledge is temporally heterogeneous; a single global refresh clock is either wasteful or stale.
- Natural language should be an interface to canonical state, not the canonical state.
- After removing what strong baselines already do, the candidate AER core is: epistemic world-state semantics + candidate/verify/commit authority + mandatory fact provenance + node-local tension refresh + capability/container separation + explicit epistemic-operator routing (R2).
Limitations
limitations- No performance, cost or long-horizon comparison against a production agent framework has been run; R2's LangGraph comparison is source-grounded only.
- One implementation and one substrate cannot speak for all implementations, benchmarks, model families or substrates (Paper 11 §114).
Relations
| Source | Relation | Target | Status | ID |
|---|---|---|---|---|
RES-2026-0001 Blind derivation of an adaptive epistemic architecture | belongs_to | PRG-2026-0001 Adaptive Epistemic Systems | ACTIVE | REL-2026-0001 |
RES-2026-0001 Blind derivation of an adaptive epistemic architecture | develops | THY-2026-0001 Asymmetric spacetime tension: temporally heterogeneous world knowledge | ACTIVE | REL-2026-0007 |
RES-2026-0001 Blind derivation of an adaptive epistemic architecture | develops | THY-2026-0002 Canonical symbolic state and candidate → verify → commit authority | ACTIVE | REL-2026-0008 |
RES-2026-0001 Blind derivation of an adaptive epistemic architecture | develops | THY-2026-0003 Intelligent architecture attractor | ACTIVE | REL-2026-0010 |
RES-2026-0001 Blind derivation of an adaptive epistemic architecture | develops | THY-2026-0004 Probability is not Bayesian; Bayes cannot self-authorize its premises | ACTIVE | REL-2026-0013 |
RES-2026-0001 Blind derivation of an adaptive epistemic architecture | develops | THY-2026-0007 Capability memory and substrate-neutral compute: Reuse ≻ Adapt ≻ Create | ACTIVE | REL-2026-0017 |
RES-2026-0003 Does epistemic governance survive implementation? The AER-0 architecture comparison | extends | RES-2026-0001 Blind derivation of an adaptive epistemic architecture | ACTIVE | REL-2026-0005 |
PAP-2026-0001 Paper 01 — Dynamic knowledge graphs under asymmetric spacetime tension | reports | RES-2026-0001 Blind derivation of an adaptive epistemic architecture | ACTIVE | REL-2026-0018 |
PAP-2026-0002 Paper 02 — Stability is not a static value: freshness, decay and update tension | reports | RES-2026-0001 Blind derivation of an adaptive epistemic architecture | ACTIVE | REL-2026-0021 |
PAP-2026-0003 Paper 03 — From dynamic graph to executable symbolic system: language as rendering, not canonical state | reports | RES-2026-0001 Blind derivation of an adaptive epistemic architecture | ACTIVE | REL-2026-0024 |
PAP-2026-0004 Paper 04 — World-knowledge expansion and the adaptive representation space | reports | RES-2026-0001 Blind derivation of an adaptive epistemic architecture | ACTIVE | REL-2026-0027 |
PAP-2026-0005 Paper 05 — Memory, algorithm libraries and reusable solution paths | reports | RES-2026-0001 Blind derivation of an adaptive epistemic architecture | ACTIVE | REL-2026-0029 |
PAP-2026-0006 Paper 06 — Substrate-neutral computational containers | reports | RES-2026-0001 Blind derivation of an adaptive epistemic architecture | ACTIVE | REL-2026-0032 |
PAP-2026-0007 Paper 07 — Blind-derived AI: do different first principles converge on one engineering form? | reports | RES-2026-0001 Blind derivation of an adaptive epistemic architecture | ACTIVE | REL-2026-0035 |
PAP-2026-0008 Paper 08 — Intelligent architecture attractors: at which level does difference live? | reports | RES-2026-0001 Blind derivation of an adaptive epistemic architecture | ACTIVE | REL-2026-0038 |
PAP-2026-0009 Paper 09 — Probability is not Bayesian | reports | RES-2026-0001 Blind derivation of an adaptive epistemic architecture | ACTIVE | REL-2026-0041 |
PAP-2026-0010 Paper 10 — Bayes within Bayes: who authorizes the update rule? | reports | RES-2026-0001 Blind derivation of an adaptive epistemic architecture | ACTIVE | REL-2026-0044 |
PAP-2026-0011 Paper 11 — If it is really stronger, I was wrong; if not, what did we find? The final experimental verdict | reports | RES-2026-0001 Blind derivation of an adaptive epistemic architecture | ACTIVE | REL-2026-0047 |
PAP-2026-0013 Adaptive Epistemic AI Runtime — technical whitepaper v0.1 | reports | RES-2026-0001 Blind derivation of an adaptive epistemic architecture | ACTIVE | REL-2026-0053 |
History and provenance
- Canonical URL
- https://evemisslab.com/ai/research/RES-2026-0001/
- Machine-readable
/ai/research/RES-2026-0001/index.json- Snapshot
AI-SNAPSHOT-v0.1-fe85b9694a45- 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