aprender-simulate 0.51.0

Unified Simulation Engine for the Sovereign AI Stack
Documentation
# Little's Law Validation Experiment
# EDD-compliant experiment specification

experiment_version: "1.0"
experiment_id: "TPS-TC-001"

metadata:
  name: "Little's Law Validation"
  description: |
    Validate Little's Law (L = λW) under stochastic conditions.
    This is TPS Test Case 1 from the EDD specification.
  tags: ["tps", "operations", "littles-law", "queueing"]

equation_model_card:
  emc_ref: "operations/littles_law"

hypothesis:
  null_hypothesis: |
    H₀: There is no statistically significant linear relationship
    between WIP and Throughput × Cycle Time (L ≠ λW).
  alternative_hypothesis: |
    H₁: Little's Law holds: L = λW within statistical tolerance.
  expected_outcome: "reject"

reproducibility:
  seed: 42
  ieee_strict: true

simulation:
  duration:
    warmup: 100.0
    simulation: 1000.0
    replications: 30
  parameters:
    arrival_rate: 5.0
    service_rate: 6.0

falsification:
  import_from_emc: true
  criteria:
    - id: "LL-FC-001"
      name: "Linear relationship"
      condition: "R² < 0.95"
      severity: "critical"
    - id: "LL-FC-002"
      name: "Relative error"
      condition: "|L - λW| / L > 0.05"
      severity: "major"