configs/session_interpretation/trajectory_rules.yaml

# Per-pattern trajectory rules — TRACE v1
# Parameters that drive per-session accuracy and behavior-frequency generation.
# Each pattern ID matches configs/session_interpretation/taxonomy.yaml.
#
# Interpretation of fields:
#   base_range: uniform-sample initial accuracy
#   delta_per_session_range: per-session delta applied cumulatively
#   noise: uniform ±noise added per session
#   behavior_trajectory: how target-behavior frequencies evolve (optional)
#     "stable_low" / "ascending" / "descending" / "spike" / etc.

rules:
  mastery_progression:
    accuracy:
      base_range: [0.30, 0.50]
      delta_per_session_range: [0.04, 0.08]
      noise: 0.05
      cap: 0.95
    behavior_trajectory: stable_low

  regression:
    accuracy:
      base_range: [0.70, 0.85]
      delta_per_session_range: [-0.08, -0.04]
      noise: 0.05
      floor: 0.10
    behavior_trajectory: ascending_moderate

  plateau:
    accuracy:
      base_range: [0.45, 0.65]
      delta_per_session_range: [-0.02, 0.02]
      noise: 0.08
    behavior_trajectory: stable_low

  frustration_pattern:
    accuracy:
      base_range: [0.70, 0.85]
      delta_per_session_range: [-0.08, -0.04]
      noise: 0.05
      floor: 0.10
    behavior_trajectory: ascending_strong
    behavioral_indicators: frustration

  variable_performance:
    accuracy:
      base_range: [0.40, 0.70]
      delta_per_session_range: [0.0, 0.0]
      noise: 0.20
    behavior_trajectory: variable

  prompt_dependency:
    accuracy:
      base_range: [0.75, 0.95]      # high but prompted
      delta_per_session_range: [-0.02, 0.02]
      noise: 0.04
    behavior_trajectory: stable_low
    prompted_share: [0.70, 0.90]      # share of trials that are prompted (not independent)

  rapid_acquisition:
    accuracy:
      base_range: [0.20, 0.40]
      delta_per_session_range: [0.08, 0.12]
      noise: 0.03
      cap: 0.97
    behavior_trajectory: stable_low

  generalization_failure:
    accuracy:
      alternating:
        training_range: [0.75, 0.90]
        novel_range: [0.25, 0.45]
        noise: 0.05
    behavior_trajectory: stable_low

  extinction_burst:
    accuracy:
      base_range: [0.50, 0.70]
      delta_per_session_range: [0.0, 0.03]
      noise: 0.05
    behavior_trajectory: temporary_spike
    burst_start_fraction: 0.33         # spike starts ~1/3 through log
    burst_duration_sessions: 2
    burst_magnitude: [2.0, 3.5]        # multiplier on baseline frequency

  skill_loss_after_break:
    accuracy:
      base_range: [0.70, 0.85]
      initial_drop: [0.25, 0.40]
      recovery_per_session_range: [0.05, 0.10]
      noise: 0.03
    behavior_trajectory: stable_low

  motivating_operation_shift:
    accuracy:
      base_range: [0.70, 0.85]
      mo_dip_sessions: [2, 4]          # how many consecutive sessions show the dip
      mo_dip_magnitude: [0.25, 0.40]   # drop depth
      recovery_per_session_range: [0.05, 0.08]
      noise: 0.04
    behavior_trajectory: stable_low

  setting_event_trigger:
    accuracy:
      base_range: [0.55, 0.75]
      setting_event_session_fraction: 0.40   # where the setting event hits
      setting_event_magnitude: [0.20, 0.35]
      recovery_per_session_range: [0.04, 0.08]
      noise: 0.05
    behavior_trajectory: coincident_spike

# Behavior-trajectory shorthand -> what it produces for frequency per session
behavior_trajectory_library:
  stable_low:
    base_freq_range: [0, 3]
    delta_per_session: 0.0
    noise: 1.0
  ascending_moderate:
    base_freq_range: [1, 3]
    delta_per_session: 0.3
    noise: 1.0
  ascending_strong:
    base_freq_range: [1, 3]
    delta_per_session: 0.6
    noise: 1.0
  variable:
    base_freq_range: [1, 5]
    delta_per_session: 0.0
    noise: 3.0
  temporary_spike:
    base_freq_range: [1, 3]
    spike_multiplier_range: [2.5, 4.0]
    noise: 1.0
  coincident_spike:
    base_freq_range: [1, 3]
    spike_multiplier_range: [2.0, 3.5]
    noise: 1.0