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

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
6 changed files with 77 additions and 45 deletions
@@ -14,10 +14,11 @@ validator populations C4 (Lasry & Lions 2007; validator-specific application C3)
simulation parameterization C1.
## 3. Language & location
TBD · `src/economy/sims/consensus/`. **Prolog** — Markov chain transition rules, Nash
equilibrium search, and replicator dynamics are constraint-satisfaction problems over validator
populations; Prolog's backtracking search finds equilibria declaratively rather than
imperatively iterating toward them.
**ECLiPSe Prolog 7.2** · `src/economy/sims/consensus/`. Libraries: **ic** (interval
constraints), **eplex** (LP/MIP via COIN-OR CLP/CBC — Nash equilibrium via linear programming).
Markov chain transition rules, Nash equilibrium search, and replicator dynamics are
constraint-satisfaction problems over validator populations; Prolog's backtracking search finds
equilibria declaratively rather than imperatively iterating toward them.
## 4. Does / does-not
- **Does:** simulate validator populations where honesty evolves via **evolutionary game theory**