EVEMISSLAB

TheoryTHY-2026-0003v0.1

Intelligent architecture attractor

Different first principles may compile into the same small family of computational forms. The comparison framework separates six levels of difference — code, primitive, computation trace, architectural state semantics, observable behaviour, resource efficiency — and asks who owns state, what may rewrite canonical state, and whether dynamics are preserved under low-cost mapping. The series ends with a fixed verdict map: Distinct Advantage, Operational Convergence, Behavioral Equivalence Only, Inconclusive, Architecture Worse.

Research status
EXPERIMENTAL being tested experimentally
Evidence level
E2 Controlled experiment
Data basis
THEORY Theoretical reasoning only; no measurement.
Version
0.1
Updated
2026-09-08
Created
2026-09-08
Domain
AI Architecture, Evaluation, Formal AI
Program
PRG-2026-0001 Adaptive Epistemic Systems
Authors
Neo.K (EveMissLab)
AI collaborators
Sol (GPT-5.6, OpenAI ChatGPT)

Assumptions

assumptions
  • The executed architecture is the architecture (runtime-truth principle); spec cannot defend runtime.

Claims

claims
  • Theory difference matters only insofar as it survives into measurable state, computation, behaviour or resource use; if it does not survive, the convergence itself becomes the phenomenon to explain.
  • If every possible outcome is interpreted as confirmation, the theory has explained nothing.

Predictions

predictions
  • Independent architectures' ablation cores intersect (an attractor core) if the attractor is real.

Falsification / failure conditions

falsification_conditions
  • Distinct Advantage: stable multidimensional advantage over baselines across models, seeds, tasks and horizons weakens the convergence suspicion.
  • Architecture Worse: added structure is operationally unnecessary or harmful.

Known limitations

known_limitations
  • One implementation provides at most candidate evidence for convergence; an attractor study needs n ≫ 2 independent starting points (Paper 11 §53).

Evidence

SourceRelationTargetStatusID
EXP-2026-0002 R1 — deterministic semantics comparison against four baselinestestsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0109
RST-2026-0001 R1 comparison tablesupportsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0114
EXP-2026-0003 R2 — source-grounded structural comparison with LangGraph 1.2.11testsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0118
RST-2026-0002 R2 classification matrixsupportsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0124
EXP-2026-0004 R3 — epistemic commit transaction vs scattered and centralized application gatestestsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0131
RST-2026-0003 R3: AER-ECT ≈ centralized application gatesupportsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0135

Relations

SourceRelationTargetStatusID
RES-2026-0001 Blind derivation of an adaptive epistemic architecturedevelopsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0010
RES-2026-0003 Does epistemic governance survive implementation? The AER-0 architecture comparisondevelopsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0011
RES-2026-0002 PACC conjecture — do non-probabilistic primitives converge to probability-like structure?developsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0012
PAP-2026-0007 Paper 07 — Blind-derived AI: do different first principles converge on one engineering form?formalizesTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0036
PAP-2026-0008 Paper 08 — Intelligent architecture attractors: at which level does difference live?formalizesTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0039
PAP-2026-0011 Paper 11 — If it is really stronger, I was wrong; if not, what did we find? The final experimental verdictformalizesTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0048
EXP-2026-0002 R1 — deterministic semantics comparison against four baselinestestsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0109
RST-2026-0001 R1 comparison tablesupportsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0114
EXP-2026-0003 R2 — source-grounded structural comparison with LangGraph 1.2.11testsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0118
RST-2026-0002 R2 classification matrixsupportsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0124
EXP-2026-0004 R3 — epistemic commit transaction vs scattered and centralized application gatestestsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0131
RST-2026-0003 R3: AER-ECT ≈ centralized application gatesupportsTHY-2026-0003 Intelligent architecture attractorACTIVEREL-2026-0135

History and provenance

Canonical URL
https://evemisslab.com/ai/theory/THY-2026-0003/
Machine-readable
/ai/theory/THY-2026-0003/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