Address PR #13 review: 18 comments across M0-M3g specs

M0: economy organ stores local memory ledger; M6 supervises M5
directly, M7 is independent antivirus/guarddog alerting M6 via
Ichor; Ada dependency reframed to economy scope; build sequence
changed to subcomponent-first with ablative tests.

M1: submit_action returns {succeeded|failed}, diagnostics internal
to Conductor; stubs now print "if finished, would respond with..."
for debugging; law script changes require operator + Homunculus
signatures; law script format added as open item.

M2: removed Python/Rust from language options; confidence scale
changed to [0.0, 10.0] per position.

M3 hub: normalized all time horizons to ~40s wall time windows;
confidence scale 0.00-10.00 with "X.XX/10.00" print format; gain
rates as "low - mid - high / 10.00"; removed Python from language
list across all sub-specs (M3a-M3g).

M3a: Julia/R/Fortran/Octave replaces Python; fBM citation added
(Hosking 1984, Wood & Chan 1994); confidence/correctness/certainty
distinguished as 3 separate metrics; models span multiple horizons.

M3b: models span multiple horizons note added; Mesa/Python removed.
M3c: Solidity for on-chain precision; Julia/Octave for analytics.
M3d-M3g: Python removed; confidence values updated to 10.0 scale.
This commit is contained in:
Claude
2026-07-14 00:50:09 +00:00
parent 9712035e12
commit 3919e70ed0
11 changed files with 86 additions and 70 deletions
+4 -3
View File
@@ -13,7 +13,8 @@ simulation parameterization C1.
## 3. Language & location
TBD · `src/economy/sims/amm/`. Needs precise fixed-point or arbitrary-precision arithmetic for
invariant calculations (Solidity-equivalent precision). Python, Rust, or Julia.
invariant calculations. Solidity for on-chain-equivalent precision; Julia or Octave for
analytical models.
## 4. Does / does-not
- **Does:** simulate constant-product pools with fee parameter $\gamma$:
@@ -27,9 +28,9 @@ invariant calculations (Solidity-equivalent precision). Python, Rust, or Julia.
## 5. Interface contract
- Implements `query(PredictionQuery) -> BoundedPrediction` per M3 hub.
- **Output bounds:** IL ranges and pool return intervals.
Example: `{ value: -0.034, lower_bound: -0.058, upper_bound: -0.012, confidence: 0.90,
Example: `{ value: -0.034, lower_bound: -0.058, upper_bound: -0.012, confidence: 9.00,
time_horizon: "7d", sim_type: "amm_liquidity" }` — projected impermanent loss for ETH/USDC pool.
Example: `{ value: 0.082, lower_bound: 0.041, upper_bound: 0.127, confidence: 0.85,
Example: `{ value: 0.082, lower_bound: 0.041, upper_bound: 0.127, confidence: 8.50,
time_horizon: "30d", sim_type: "amm_liquidity" }` — net LP return (fees − IL).
- **Time-horizon mapping** (all run concurrently, tick-advanced, 90:1 (1s wall = 90s sim)):
| Horizon | Primary models | Update cadence |