L2 Strategic Controller for Liquid Conglomerate Silos.

Part of the Liquid Conglomerate v2 architecture. This module implements the L2 strategic layer that learns to tune L1's hyperparameters based on long-term L0 performance.

Architecture

L2 is the slowest-evolving layer that: - Observes L0 performance over many τ_L1 cycles - Outputs adjustments to L1's hyperparameters - Provides a stable strategic platform for the adaptation hierarchy

Learning Mechanism

L2 learns through slow evolution or Bayesian optimization: 1. Tiny population (3-5 L2 variants) or single individual with exploration 2. Each L2 variant's settings tested over many L1 cycles 3. Fitness = long-term cumulative L0 performance 4. Very slow evolution (τ_L2 = 5 min for Resource, 10000 evals for Task)

Usage

%% Create L2 controller for a silo Config = #{ silo_type => task, morphology_module => task_l0_morphology, tau_l2 => 300000, % 5 minutes l1_hyperparameters => task_l0_morphology:l1_hyperparameters() }, {ok, Pid} = lc_l2_controller:start_link(Config),

%% Update with L1 performance (called every τ_L1) lc_l2_controller:observe_l1_performance(Pid, L1Metrics),

%% Get current L1 hyperparameter settings L1Hyperparams = lc_l2_controller:get_l1_hyperparameters(Pid),