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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.
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@@ -15,7 +15,7 @@ simulation parameterization C1.
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## 3. Language & location
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TBD · `src/economy/sims/consensus/`. Needs Markov chain solvers and game-theoretic equilibrium
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computation. Python, Julia, or R.
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computation. Julia, R, or Fortran.
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## 4. Does / does-not
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- **Does:** simulate validator populations where honesty evolves via **evolutionary game theory**
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@@ -34,10 +34,10 @@ computation. Python, Julia, or R.
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## 5. Interface contract
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- Implements `query(PredictionQuery) -> BoundedPrediction` per M3 hub.
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- **Output bounds:** equilibrium stability ranges and yield intervals.
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Example: `{ value: 0.89, lower_bound: 0.82, upper_bound: 0.94, confidence: 0.88,
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Example: `{ value: 0.89, lower_bound: 0.82, upper_bound: 0.94, confidence: 8.80,
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time_horizon: "7d", sim_type: "consensus_staking" }` — fraction of validators honest in
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equilibrium.
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Example: `{ value: 4.2, lower_bound: 3.6, upper_bound: 5.1, confidence: 0.82,
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Example: `{ value: 4.2, lower_bound: 3.6, upper_bound: 5.1, confidence: 8.20,
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time_horizon: "30d", sim_type: "consensus_staking" }` — annualized staking yield (%).
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- **Time-horizon mapping** (all run concurrently, tick-advanced, 90:1 (1s wall = 90s sim)):
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| Horizon | Primary models | Update cadence |
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