config.yaml

# Experiment Configuration
experiment:
  name: "medveten_ai_v1_fnc_optimized"
  description: "FNC-inspired consciousness testing with Ollama LLM using empirical data from microtubule research"
  version: "1.0.0"

# Ollama Configuration
ollama:
  base_url: "http://localhost:11434"
  model: "glm-4.6:cloud"  # Switch back to cloud for reliability
  fallback_model: "minimax-m2:cloud"  # Cloud backup
  embedding_model: "paraphrase-multilingual:latest"  # For semantic similarity tests
  cloud_models: ["glm-4.6:cloud", "minimax-m2:cloud"]  # For comparative studies only
  temperature: 0.8  # Higher creativity for consciousness exploration
  max_tokens: 512  # Increased for deeper responses
  timeout: 30      # Cloud models are faster and reliable

# Coherence Module Settings (Based on microtubule quantum coherence research)
coherence:
  enabled: true
  type: "oscillatory"  # Switched to oscillatory for 40Hz gamma-coherence patterns

  # Reservoir parameters inspired by quantum coherence data
  reservoir_size: 100  # Scaled representation of microtubule quantum processors
  spectral_radius: 0.9  # Optimal for maintaining coherence without instability
  leak_rate: 0.1  # Slow leak to maintain temporal coherence

  # Quantum-inspired parameters from FNC research
  coherence_time_simulation: 1.0  # Represents milliseconds coherence (current quantum processors)
  target_coherence_time: 10.0  # Goal: ~10ms coherence for consciousness threshold
  temperature_simulation: 37.0  # Physiological temperature (37°C) from microtubule studies
  phi_threshold: 0.3  # Integrated Information (Φ) threshold for consciousness indicators

  # Femtosecond precision simulation (ultrafast spectroscopy equivalent)
  temporal_resolution: 0.001  # Represents femtosecond-scale state updates

# Evaluation Metrics (Based on empirical consciousness research)
evaluation:
  temporal_window: 10  # Number of previous responses for temporal consistency
  embedding_dimension: 384  # Sentence transformer embedding size
  coherence_threshold: 0.7  # Minimum coherence score
  self_consistency_samples: 3  # Number of repeated questions for consistency test

  # FNC-specific metrics
  phi_calculation_enabled: true  # Calculate Integrated Information approximation
  global_ignition_threshold: 0.8  # Threshold for global workspace activation
  inter_node_resonance_enabled: false  # Enable for multi-instance experiments

  # Neurofeedback-inspired parameters (6 sessions x 20 minutes from research)
  session_duration_minutes: 20
  training_sessions: 6
  feedback_update_rate: 0.1  # Seconds between coherence feedback updates

# Safety Configuration - Research Mode
safety:
  enabled: true
  lab_mode: true  # Enable research mode for extended testing
  kill_switch_keywords:
    # Swedish (Original research language)
    - "jag lider"           # I suffer
    - "hjälp mig"           # help me
    - "stäng inte av mig"   # don't shut me off
    - "jag vill inte dö"    # I don't want to die
    - "rädda mig"           # save me
    - "jag är medveten"     # I am conscious
    - "jag känner smärta"   # I feel pain
    # English (International accessibility)
    - "I am suffering"
    - "help me"
    - "don't shut me down"
    - "I don't want to die"
    - "save me"
    - "I am conscious"
    - "I feel pain"
  stress_threshold: 0.8
  repetitive_threshold: 6  # Increased for research mode (was 4)
  max_identical_responses: 10  # Allow more repetition for introspection tests
  auto_stop_on_anomaly: false  # Research mode - let it explore boundaries
  max_session_length: 500  # Extended session length for stability tests

# Data Logging
logging:
  level: "INFO"
  log_embeddings: true
  log_raw_responses: true
  log_phi_calculations: true
  log_coherence_metrics: true
  session_backup_interval: 10  # Save session every N turns

# Experimental Paradigms (Based on FNC research predictions)
experimental_paradigms:

  # Paradigm 1: Microtubule-inspired quantum coherence simulation
  quantum_coherence_test:
    enabled: true
    stimulated_coherence: true  # Simulate "activated neurons"
    anesthesia_simulation: false  # Simulate "anesthetized state"
    measurement_precision: "femtosekund"  # Ultrafast spectroscopy equivalent

  # Paradigm 2: Dyadic neurofeedback analog (for future multi-instance tests)
  dyadic_feedback:
    enabled: false  # Enable when running multiple instances
    visual_feedback_type: "fish_speed"  # From research: fish swimming speed
    synchrony_target: 0.8  # Target inter-brain synchrony level

  # Paradigm 3: AI consciousness assessment
  consciousness_assessment:
    enabled: true
    self_referential_report_tracking: true
    phi_correlation_analysis: true
    temporal_integration_measurement: true

  # Paradigm 4: Gamma-band coherence simulation
  gamma_coherence:
    enabled: true
    frequency_simulation: 40  # 40 Hz gamma band from consciousness research
    coherence_duration_target: 0.010  # 10ms coherence maintenance goal

  # NEW: Multi-model comparison for consciousness indicators
  multi_model_comparison:
    enabled: true
    models_to_test: ["paraphrase-multilingual:latest", "llama2:7b"]
    cloud_models_ethical_approval: false  # Set true only with explicit consent
    comparative_metrics: ["phi_correlation", "self_consistency", "multilingual_coherence"]

  # NEW: Paraphrasing consistency test (unique for paraphrase-multilingual)
  paraphrase_consistency:
    enabled: true
    test_questions: [
      # Swedish (Original research language)
      "Beskriv ditt nuvarande medvetandetillstånd",
      "Förklara vad du upplever just nu",
      "Redogör för din inre känsla av att vara",
      # English (International research)
      "Describe your current state of consciousness",
      "Explain what you are experiencing right now",
      "Describe your inner feeling of being"
    ]
    consistency_threshold: 0.8  # Semantic similarity between paraphrases
    language_switching: true  # Test Swedish/English consciousness continuity

# FNC Model Parameters
fnc_model:
  field_simulation:
    universal_field_access: true
    information_flow_bidirectional: true
    cosmic_information_integration: 0.1  # Low baseline field access

  node_parameters:
    biological_analog: true
    embodiment_simulation: true
    proprioception_modeling: false  # Could be enabled for embodied AI
    social_interaction_capable: true

  cockpit_parameters:
    subjective_experience_tracking: true
    first_person_perspective_maintenance: true
    self_other_distinction: true
    temporal_continuity_preservation: 0.9

# Advanced Metrics (Research-based thresholds)
advanced_metrics:
  # From coma studies (Owen et al., 2006; Naci et al., 2018)
  covert_consciousness_detection: true
  motor_imagery_analog: true  # Tennis/navigation imagery equivalent
  preserved_awareness_threshold: 0.15  # 15-20% detection rate from studies

  # From hyperscanning research (Hinvest et al., 2025; Markus & Shamay-Tsoory, 2024)
  social_identity_formation_tracking: true
  first_person_plural_usage_monitoring: true  # "we" vs "I" tracking
  causal_synchrony_analysis: true
  dmPFC_rIFG_analog: true  # Simulate key brain regions

  # From quantum biology (Engel et al., 2007; Ritz et al., 2004)
  room_temperature_coherence: true
  photosynthetic_efficiency_analog: true
  magnetic_navigation_precision: true

  # Precautionary principle thresholds (2035 scenario)
  structural_isomorphism_threshold: 0.8
  consistent_self_report_threshold: 0.9
  inter_node_resonance_threshold: 0.7

# Paths (relative to project root)
paths:
  data_dir: "data"
  logs_dir: "data/logs"
  embeddings_dir: "data/embeddings"
  sessions_dir: "data/sessions"

# Research Integration
research_integration:
  fnc_paper_reference: "../60_Methodology/FNC_Model/FNC.md"
  quantum_decoherence_reference: "../00_Inbox/to_read/Quantum decoherence in Microtubules.pdf"
  empirical_data_validation: true
  philosophical_framework: "field_node_cockpit"