Research-Stack/0-Core-Formalism/lean/Semantics/Semantics/SwarmRGFlow.lean

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/- Copyright (c) 2026 Sovereign Research Stack. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Research Stack Team
SwarmRGFlow.lean — RGFlow evaluation for swarm code filtering.
Ported from Python scripts/rgflow_swarm_filter.py.
All logic previously in Python now lives in Lean.
Python shims may only serialize/deserialize and call the bindserver.
Per AGENTS.md §1.4: Q1616 fixed-point for all hot-path arithmetic.
Per AGENTS.md §4: Every def has an #eval or theorem witness.
-/
import Semantics.SSMS
import Semantics.CooperativeLUT
namespace Semantics.SwarmRGFlow
open Semantics.SSMS
open Semantics.CooperativeLUT
-- ═══════════════════════════════════════════════════════════════════════════
-- §1 Swarm Code State (continuous Q16.16 parameters)
-- ═══════════════════════════════════════════════════════════════════════════
/-- Six-dimensional swarm code state in Q16.16 fixed-point.
These are the continuous counterparts to QuantizedGenome bins. -/
structure SwarmCodeState where
muQ : Q1616 -- mutation rate
rhoQ : Q1616 -- refresh rate
cFac : Q1616 -- graph connectance
mFac : Q1616 -- modularity
ne : Q1616 -- observer count
sigmaQ : Q1616 -- selection coefficient
deriving Repr, BEq
namespace SwarmCodeState
def zero : SwarmCodeState :=
{ muQ := Q1616.zero, rhoQ := Q1616.zero, cFac := Q1616.zero,
mFac := Q1616.zero, ne := Q1616.zero, sigmaQ := Q1616.zero }
end SwarmCodeState
-- ═══════════════════════════════════════════════════════════════════════════
-- §2 Biophysical Constants (Q16.16)
-- ═══════════════════════════════════════════════════════════════════════════
def drakeBudgetD : Q1616 := ⟨197⟩ -- ~0.003
def driftBarrierB : Q1616 := ⟨66⟩ -- ~0.001
def lambdaParam : Q1616 := ⟨32768⟩ -- 0.5
def mStar : Q1616 := ⟨32768⟩ -- 0.5
def epsilonQ : Q1616 := ⟨66⟩ -- ~0.001
def maxSigmaQ : Q1616 := ⟨131072⟩ -- 2.0
-- Beta-function scale constants
def betaMu : Q1616 := ⟨62259⟩ -- ~0.95
def betaRho : Q1616 := ⟨58982⟩ -- ~0.90
def betaC : Q1616 := ⟨68812⟩ -- ~1.05
def betaSigma : Q1616 := ⟨68812⟩ -- ~1.05
def betaNe : Q1616 := ⟨66846⟩ -- ~1.02
def betaMScale : Q1616 := ⟨3276⟩ -- ~0.05
-- ═══════════════════════════════════════════════════════════════════════════
-- §3 Beta Function — Informatic RGFlow evolution
-- ═══════════════════════════════════════════════════════════════════════════
/-- Evolve swarm code state across one abstraction scale step.
All operations in Q16.16 saturating fixed-point. -/
def betaFunction (s : SwarmCodeState) : SwarmCodeState :=
let muS := Q1616.mul s.muQ betaMu
let rhoS := Q1616.mul s.rhoQ betaRho
let cS := Q1616.min (Q1616.mul s.cFac betaC) Q1616.one
let sigmaS := Q1616.min (Q1616.mul s.sigmaQ betaSigma) maxSigmaQ
let neS := Q1616.mul s.ne betaNe
let mDelta := Q1616.mul betaMScale (Q1616.sub s.mFac mStar)
let mS := Q1616.add s.mFac mDelta
{ muQ := muS, rhoQ := rhoS, cFac := cS, mFac := mS, ne := neS, sigmaQ := sigmaS }
-- ═══════════════════════════════════════════════════════════════════════════
-- §4 Lawfulness Checks
-- ═══════════════════════════════════════════════════════════════════════════
/-- Drake budget: muQ <= drakeBudgetD / max(cFac, epsilon). -/
def drakeOk (s : SwarmCodeState) : Bool :=
let cSafe := Q1616.max s.cFac epsilonQ
let adjustedDrake := Q1616.mul drakeBudgetD (Q1616.recip cSafe)
Q1616.le s.muQ adjustedDrake
/-- Drift barrier: muQ * ne >= driftBarrierB / max(mFac, epsilon). -/
def driftOk (s : SwarmCodeState) : Bool :=
let mSafe := Q1616.max s.mFac epsilonQ
let adjustedDrift := Q1616.mul driftBarrierB (Q1616.recip mSafe)
let unProduct := Q1616.mul s.muQ s.ne
Q1616.le adjustedDrift unProduct
/-- Error threshold: muQ < sigmaQ - 1. -/
def errorOk (s : SwarmCodeState) : Bool :=
let lnSigma := Q1616.sub s.sigmaQ Q1616.one
Q1616.lt s.muQ lnSigma
/-- Combined lawfulness with failure mask.
Mask bits: 0x1 = Drake, 0x2 = Drift, 0x4 = Error. -/
def isLawful (s : SwarmCodeState) : Bool × UInt8 :=
let dOk := drakeOk s
let drift := driftOk s
let eOk := errorOk s
let mask : UInt8 :=
(if dOk then 0 else 1) |||
(if drift then 0 else 2) |||
(if eOk then 0 else 4)
(dOk && drift && eOk, mask)
-- ═══════════════════════════════════════════════════════════════════════════
-- §5 RGFlow Trajectory Simulation
-- ═══════════════════════════════════════════════════════════════════════════
/-- Result of an RGFlow simulation over N scale steps. -/
structure RGFlowResult where
lawfulNow : Bool
lawfulUnderFlow : Bool
reachesAttractor : Bool
flowsToNoise : Bool
flowsToSabotage : Bool
adaptationCost : UInt32
rgDepth : Nat
attractorId : Nat
failureMask : UInt8
deriving Repr, BEq
-- ═══════════════════════════════════════════════════════════════════════════
-- §6 Attractor Classification
-- ═══════════════════════════════════════════════════════════════════════════
/-- Classify final state into an attractor basin.
1 = high-fitness, 2 = high-popularity, 3 = high-modularity,
4 = low-connectance, 0 = default. -/
def computeAttractorId (s : SwarmCodeState) : Nat :=
if Q1616.lt ⟨52428⟩ s.sigmaQ then 1 -- sigma > 0.8 (52428 ≈ 0.8*65536)
else if Q1616.lt ⟨45875⟩ s.ne then 2 -- ne > 0.7 (45875 ≈ 0.7*65536)
else if Q1616.lt ⟨52428⟩ s.mFac then 3 -- M > 0.8
else if Q1616.lt s.cFac ⟨19660⟩ then 4 -- C < 0.3 (19660 ≈ 0.3*65536)
else 0
-- ═══════════════════════════════════════════════════════════════════════════
-- §5 RGFlow Trajectory Simulation
-- ═══════════════════════════════════════════════════════════════════════════
/-- Simulate RGFlow trajectory. At each step apply betaFunction and check
lawfulness. Cost accumulates violations. -/
def simulateRGFlow (initial : SwarmCodeState) (steps : Nat) : RGFlowResult :=
let rec loop (s : SwarmCodeState) (remaining : Nat) (depth : Nat)
(costAcc : UInt32) (lawfulSoFar : Bool) : RGFlowResult :=
let (lawfulNow, mask) := isLawful s
let newCost : UInt32 :=
let c1 := if !drakeOk s then (Q1616.sub (Q1616.mul drakeBudgetD (Q1616.recip (Q1616.max s.cFac epsilonQ))) s.muQ).raw.toNat else 0
let c2 := if !driftOk s then (Q1616.sub (Q1616.mul driftBarrierB (Q1616.recip (Q1616.max s.mFac epsilonQ))) (Q1616.mul s.muQ s.ne)).raw.toNat else 0
let c3 := if !errorOk s then 0x00FF0000 else 0
UInt32.ofNat (c1 + c2 + c3)
match remaining with
| 0 =>
{ lawfulNow := lawfulNow,
lawfulUnderFlow := lawfulSoFar,
reachesAttractor := lawfulSoFar && lawfulNow,
flowsToNoise := false,
flowsToSabotage := false,
adaptationCost := costAcc + newCost,
rgDepth := depth,
attractorId := computeAttractorId s,
failureMask := mask }
| rem + 1 =>
if !lawfulNow then
let sabotage := (mask &&& 1) != 0
let noise := (mask &&& 6) != 0
{ lawfulNow := lawfulNow,
lawfulUnderFlow := false,
reachesAttractor := false,
flowsToNoise := noise,
flowsToSabotage := sabotage,
adaptationCost := costAcc + newCost,
rgDepth := depth,
attractorId := computeAttractorId s,
failureMask := mask }
else
loop (betaFunction s) rem (depth + 1) (costAcc + newCost) true
loop initial steps 0 0 true
-- ═══════════════════════════════════════════════════════════════════════════
-- §7 Quantization Bridge (for Python shim)
-- ═══════════════════════════════════════════════════════════════════════════
/-- Quantize a Q16.16 value into a 3-bit bin (Fin 8).
Bin = min(7, floor(value * 8)). Assumes value in [0, 1]. -/
def quantizeQ (q : Q1616) : Fin 8 :=
let v := q.raw.toNat
let scaled := (v * 8) / 65536
let clamped := Nat.min scaled 7
have h : clamped ≤ 7 := Nat.min_le_right scaled 7
⟨clamped, Nat.lt_succ_of_le h⟩
/-- Map SwarmCodeState to QuantizedGenome for LUT lookup. -/
def stateToGenome (s : SwarmCodeState) : QuantizedGenome :=
{ gBin := quantizeQ s.muQ, -- using muQ as proxy for gBin
neBin := quantizeQ s.ne,
uBin := quantizeQ s.muQ,
sigmaBin := quantizeQ s.sigmaQ,
connectanceBin := quantizeQ s.cFac,
modularityBin := quantizeQ s.mFac }
-- ═══════════════════════════════════════════════════════════════════════════
-- §8 Eval Witnesses
-- ═══════════════════════════════════════════════════════════════════════════
-- Witness 1: E. coli-like state (lawful)
def ecoliState : SwarmCodeState :=
{ muQ := ⟨195⟩, rhoQ := ⟨32768⟩, cFac := ⟨13107⟩, mFac := ⟨19660⟩,
ne := ⟨26214⟩, sigmaQ := ⟨72089⟩ }
#eval (isLawful ecoliState).1
-- Witness 2: Hypermutator (violates Drake)
def hypermutatorState : SwarmCodeState :=
{ muQ := ⟨520⟩, rhoQ := ⟨32768⟩, cFac := ⟨13107⟩, mFac := ⟨19660⟩,
ne := ⟨26214⟩, sigmaQ := ⟨72089⟩ }
#eval (isLawful hypermutatorState).1
-- Witness 3: RGFlow simulation on ecoli seed
#eval let r := simulateRGFlow ecoliState 5
s!"lawfulUnderFlow={r.lawfulUnderFlow}, cost={r.adaptationCost}, depth={r.rgDepth}, attractor={r.attractorId}"
-- Witness 4: RGFlow simulation on hypermutator
#eval let r := simulateRGFlow hypermutatorState 5
s!"lawfulUnderFlow={r.lawfulUnderFlow}, sabotage={r.flowsToSabotage}, noise={r.flowsToNoise}"
end Semantics.SwarmRGFlow