Task Silo L0 Actuators - Denormalizes and applies TWEANN outputs.

Part of the Liquid Conglomerate v2 architecture. This module takes the normalized output vector from the L0 TWEANN and converts it into actual evolution parameters that control the neuroevolution process.

Responsibilities

1. Convert TWEANN outputs (0.0-1.0) to evolution parameter ranges 2. Apply outputs to neuroevolution_server (evolution params) 3. Apply archive management outputs 4. Handle delta outputs (population_size_delta, compatibility_threshold_delta, archive_max_size_delta) 5. Track applied values for debugging/monitoring

Actuators (20 total)

Evolution actuators (1-12): - mutation_rate, mutation_strength, selection_ratio - add_node_rate, add_connection_rate, delete_connection_rate - weight_perturb_vs_replace, crossover_rate, interspecies_crossover_rate - elitism_count, population_size_delta, compatibility_threshold_delta

Layer-specific mutation actuators (13-16): - reservoir_mutation_rate: Hidden layer mutation probability - reservoir_mutation_strength: Hidden layer weight perturbation strength - readout_mutation_rate: Output layer mutation probability - readout_mutation_strength: Output layer weight perturbation strength

Self-play archive actuators (17-20): - archive_threshold_percentile: Entry threshold for adding to archive - archive_sampling_temperature: Opponent selection strategy (0=uniform, 1=fitness-weighted) - archive_prune_ratio: Keep top X% when pruning (0.5-1.0) - archive_max_size_delta: Adjust archive max size (-5 to +5)

Usage

%% Start the actuator controller {ok, Pid} = task_l0_actuators:start_link(Config),

%% Apply TWEANN output vector task_l0_actuators:apply_output_vector(OutputVector),

%% Get current actuator values Values = task_l0_actuators:get_actuator_values(), %% Returns: #{mutation_rate => 0.15, crossover_rate => 0.7, ...}