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Resolve economy organ toolchains: ECLiPSe 7.2 + COIN-OR, M3g to Fortran, BoundedPrediction fields

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Hook:
- ECLiPSe upgraded 7.1_13 → 7.2_13, adds ic + eplex (if_osiclpcbc) with
  COIN-OR system dep, sha256 pinned, ECLIPSEDIR exported, correct paths
  (lib/x86_64_linux/eclipse.exe not bin/)
- fpm switched from GitHub binary download to pip (0.12.0) — proxy blocks
  GitHub release downloads in this environment
- Alire download gets sha256 verification on both install and presence check
- Fortran comment updated M3d,M3e → M3d,M3e,M3g
- Foundry section comment clarified as hosted separately

Specs:
- M3g §3: Zig → Fortran 2018 (gfortran/fpm/OpenBLAS, hand-rolled Riccati)
- M3 hub §3: sub-process list Zig(M3g) → Fortran(M3g)
- M3 hub §5: BoundedPrediction adds token_ticker and recent_shift (ground
  truth from M2, same source as correctness scoring and calibration)
- M3b §3: ECLiPSe 7.2 + ic + eplex (COIN-OR CLP/CBC)
- M3f §3: ECLiPSe 7.2 + ic + eplex (COIN-OR CLP/CBC)
- M3c §3: Solidity + Foundry confirmed, hosted separately, same Hub path
This commit is contained in:
Claude
2026-07-18 03:55:43 +00:00
parent 700a1825bf
commit e408409b77
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core/docs/plans/M3b-sociological-sims.md
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@@ -17,11 +17,12 @@ solvers C3). Crypto pump-and-dump ABM C3 (3-agent protocol validated on historic
Pop behavioral models C1.
## 3. Language & location
ECLiPSe Prolog · `src/economy/sims/sociological/`. **Prolog** — game-theoretic equilibria, replicator
dynamics, and strategy evolution are naturally expressed as logical relations over population
states; Nash equilibrium search is constraint satisfaction. Needs efficient population iteration,
strategy mutation, PDE solvers for MFG (HJB + Fokker-Planck), and bandit algorithms
(UCB/Thompson).
**ECLiPSe Prolog 7.2** · `src/economy/sims/sociological/`. Libraries: **ic** (interval
constraints — bounds propagation for BoundedPrediction ranges), **eplex** (LP/MIP via COIN-OR
CLP/CBC — Nash equilibrium computation). Game-theoretic equilibria, replicator dynamics, and
strategy evolution are naturally expressed as logical relations over population states; Nash
equilibrium search is constraint satisfaction. Needs efficient population iteration, strategy
mutation, PDE solvers for MFG (HJB + Fokker-Planck), and bandit algorithms (UCB/Thompson).
## 4. Does / does-not
- **Does:** simulate populations of behavioral archetypes competing in a market; apply