config.yaml

# NeuralMind Configuration
hardware:
  cuda: true
  mixed_precision: true
  memory_optimization: true
  device: "cuda"  # Added to match device specifications in the code

model_params:
  base_dim: 128  # Added to match DynamicNeuralChild implementation
  hidden_dim: 1024
  num_layers: 12
  num_heads: 16
  dropout: 0.1  # Added based on code implementation

curriculum:
  stage_thresholds:
    newborn: 0.2
    early_infancy: 0.3
    late_infancy: 0.4
    early_toddler: 0.5
    late_toddler: 0.6
    early_preschool: 0.7
    late_preschool: 0.75
    early_childhood: 0.8
    middle_childhood: 0.85
    late_childhood: 0.9
    early_elementary: 0.9
    middle_elementary: 0.92
    late_elementary: 0.94
    early_adolescence: 0.95
    middle_adolescence: 0.96
    late_adolescence: 0.97
    young_adult: 0.98
    mature_adult: 0.99

memory:
  short_term_capacity: 1000  # Added to match memory_module.py
  long_term_capacity: 50000  # Added to match memory_module.py
  replay_batch_size: 32
  consolidation_interval: 3600
  working_memory_size: 10  # Added based on code implementation

emotional_regulation:
  emotion_dim: 4  # Added based on emotional_regulation.py
  context_window: 5
  memory_dim: 32

ethical_constraints:
  harm_threshold: 0.4
  fairness_weight: 0.9
  honesty_bias: 0.75
  anxiety_threshold: 0.7  # Added based on defense mechanisms implementation

training:
  learning_rate: 3e-4  # Added based on self_supervised_trainer.py
  weight_decay: 0.01
  gradient_clip_norm: 1.0
  warmup_steps: 1000
  checkpoint_interval: 100