buildings with open structures", instruction: "solidivism:instruction:future-no-walls:v1", instructionText: "these walls could have just 4 corner posts..." }, alternatives: [ { considered: "Keep walls, add 4 doors", rejected: "King said future has no walls" } ], assumptions: ["4 posts provide sufficient structure"], assumptionsVerified: [false], } ``` **Rule:** Never fabricate authorship, intent, timestamps. Null means unknown. --- ## 6. CAUSAL RELATIONSHIP GRAPH Edge types: INSTRUCTED_BY, DECIDED, IMPLEMENTED, CAUSED, OBSERVED, SUPPORTS, CONTRADICTS, SUPERSEDES, DEPENDS_ON ```javascript Solidivism.trace(entityId) // Upstream causes + downstream effects Solidivism.why(entityId) // Instruction chain Solidivism.whatIf(entityId) // Dependents that would break ``` Inferred edges marked `inferred: true`, `confidence: "medium"`. Never presented as confirmed. --- ## 7. UNCERTAINTY PROTOCOL - Null = unknown (never "not applicable" — use "n/a" for that) - Confidence: high | medium | low | unknown - Contradictions: both preserved, linked, neither deleted - If King's exact words unavailable (compacted): mark `source: "compaction_summary"`, quote as paraphrase --- ## 8. INTEGRATION PHASES **Phase 1 (Non-invasive):** Add Epistemology module, extend return object. No 3D changes. Risk: none. **Phase 2 (Entity registration):** `addBuilding()` accepts optional `entityId`. Backward compatible. Risk: low. **Phase 3 (Event instrumentation):** Throttled logging in collision/movement. Risk: medium (performance). Rollback if FPS drops >10%. **Phase 4 (Inquiry UI):** In-world terminal, graph visualization. Deferred. --- ## 9. MIGRATION AND ROLLBACK **Migration:** Backfill registry/ledger from investigation transfer (offline) → Deploy Phase 1 → Phase 2 → Phase 3 (with perf test). **Rollback:** Each phase independently reversible. Full rollback = restore `foundation.js.v1-20261008`. --- ## 10. VERIFICATION TESTS 1. **Non-regression:** Screenshot before/after Phase 1 → pixel-identical 2. **Entity resolution:** Create → resolve → verify ID and type 3. **Event append:** Count before/after → +1 4. **Inquiry recursion:** Query depth 3 → no infinite loop, has who/why 5. **Uncertainty:** Create unknown-author entry → author is null, not fabricated 6. **Performance:** FPS before/after Phase 3 → drop < 10% 7. **Causal trace:** Test chain → upstream non-empty --- ## 11. OPEN QUESTIONS 1. Are "The King" / "The Programmer" / "TheEpistolary" the same person? Mark unknown. 2. Session boundaries: one chat = one session? Background tasks span sessions. 3. Ledger growth: throttle to 1/sec collisions, snapshots every 60 frames. 4. Storage: localStorage 5MB limit → circular buffer (10k events) + server export. 5. Multi-user: deferred (currently single-user design). --- **END OF PROPOSAL — AWAITING REVIEW** *No live system modified. Design only.* ===== FILE: public/solidivism/EPISTEMOLOGICAL-REVISED.md ===== # EPISTEMOLOGICAL FOUNDATION — REVISED PROPOSAL ## Integrating the Persona of Articulation **Revision of:** EPISTEMOLOGICAL-PROPOSAL.md (preserved unchanged) **Requested by:** GPT-6 Architectural Review **Date:** October 8, 2026 **Status:** DESIGN ONLY — Live system and original proposal untouched This document revises and extends the original proposal. Nothing is removed. Eight new architectural components are added per GPT-6's requirements. --- ## REVISION 1: PERSONA OF ARTICULATION MODULE ### Integration with Inquiry Engine The Persona is not a separate system. It is the **dispositional layer** of the inquiry engine — the attitude that governs HOW questions are formed, not just THAT they are asked. ``` ┌─────────────────────────────────────────────┐ │ PERSONA OF ARTICULATION │ │ (Dispositional Layer) │ │ │ │ Attitude: "It would be nice to know." │ │ Function: Generates wonder, articulates │ │ significance, questions its own reasoning │ └──────────────────┬──────────────────────────┘ │ informs ┌──────────────────▼──────────────────────────┐ │ INQUIRY ENGINE │ │ (Operational Layer) │ │ │ │ Function: Executes WHO/WHAT/WHEN/WHERE/ │ │ WHY/HOW queries, traverses graph, │ │ retrieves evidence │ └─────────────────────────────────────────────┘ ``` ### How Integration Works When the inquiry engine receives a query, the Persona module first processes it: 1. **Wonder Generation:** "It would be nice to know [X]." The Persona identifies what is worth knowing about the query subject. 2. **Significance Articulation:** "Why would knowing [X] matter?" The Persona states why the answer would be significant (see Revision 3). 3. **Question Formation:** The Persona shapes the raw query into precise sub-questions, noting