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Experiment Template

Experiment Metadata

Experiment ID: EXP-YYYY-MM-DD-XXX
Experiment Title: [Brief descriptive title]
Principal Investigator: [Name]
Date Created: [YYYY-MM-DD]
Last Modified: [YYYY-MM-DD]
Status: [Draft/Active/Completed/Archived]
Version: [1.0]


1. Research Hypothesis

Primary Hypothesis

[State your main research hypothesis]

Secondary Hypotheses

  • [Secondary hypothesis 1]
  • [Secondary hypothesis 2]
  • [Secondary hypothesis 3]

Research Questions

  1. [Primary research question]
  2. [Secondary research question]
  3. [Exploratory research question]

2. Experimental Design

Study Type

  • Longitudinal simulation
  • Cross-sectional comparison
  • Intervention study
  • Baseline establishment
  • Other: [specify]

Experimental Conditions

ConditionDescriptionN PersonasDurationKey Variables
Control[No stress events][3][30 days][Baseline only]
Stress[Moderate stress events][3][30 days][Stress events]
Trauma[High-intensity stress][3][30 days][Trauma events]

Randomization

  • Random assignment to conditions
  • Stratified randomization
  • Blocked randomization
  • No randomization (specify reason)

Blinding

  • Single-blind (researcher blinded)
  • Double-blind
  • No blinding (specify reason)

3. Simulation Parameters

Core Simulation Settings

simulation:
duration_days: [30] # Total simulation duration
time_compression_factor: [24] # Hours per simulated day
max_concurrent_personas: [3] # Parallel processing limit
checkpoint_interval_hours: [6] # Save frequency

Assessment Schedule

assessment:
interval_days: [7] # Days between assessments
assessment_duration_minutes: [15] # Time per assessment
scales: ["PHQ-9", "GAD-7", "PSS-10"] # Assessment tools

Performance Constraints

performance:
memory_limit_mb: [1024] # Memory usage limit
cpu_limit_percent: [80] # CPU usage limit
day_processing_timeout: [300] # Seconds per day

4. Persona Configuration

Persona Selection

Persona IDNameBaseline TraitsConditionNotes
P001[Name][Stable, optimistic][Control][Notes]
P002[Name][Anxious baseline][Stress][Notes]
P003[Name][Resilient][Trauma][Notes]

Persona Baseline Characteristics

personas:
personality_traits:
openness: [0.5] # 0-1 scale
conscientiousness: [0.6] # 0-1 scale
extraversion: [0.4] # 0-1 scale
agreeableness: [0.7] # 0-1 scale
neuroticism: [0.3] # 0-1 scale

clinical_baseline:
phq9_baseline: [3] # 0-27 scale
gad7_baseline: [2] # 0-21 scale
pss10_baseline: [12] # 0-40 scale

5. Event Configuration

Event Types and Frequencies

Event TypeFrequencyIntensityTimingCondition
Stress Events[Weekly][Moderate][Random][Stress/Trauma]
Trauma Events[Monthly][High][Random][Trauma only]
Neutral Events[Daily][Low][Random][All]

Event Templates

events:
stress_events:
- type: "work_conflict"
frequency: "weekly"
intensity: 0.6
duration_hours: 8
- type: "relationship_strain"
frequency: "biweekly"
intensity: 0.7
duration_hours: 24

trauma_events:
- type: "loss_of_loved_one"
frequency: "monthly"
intensity: 0.9
duration_hours: 168 # 1 week
- type: "major_accident"
frequency: "quarterly"
intensity: 0.8
duration_hours: 72

6. Clinical Assessment Configuration

Assessment Scales

clinical_thresholds:
phq9:
mild: [5]
moderate: [10]
severe: [15]
max_score: [27]

gad7:
mild: [5]
moderate: [10]
severe: [15]
max_score: [21]

pss10:
low: [13]
moderate: [26]
high: [40]
max_score: [40]

Clinical Significance Criteria

clinical_significance:
phq9_change: [5] # Minimum change for clinical significance
gad7_change: [4]
pss10_change: [8]

risk_assessment:
high_risk_phq9: [15]
high_risk_gad7: [15]
high_risk_pss10: [30]
crisis_threshold: [20]

7. Drift Detection Parameters

Baseline Establishment

baseline:
min_samples: [3] # Minimum assessments for baseline
stability_threshold: [0.1] # Maximum variance for stable baseline
establishment_days: [21] # Days to establish baseline

Drift Detection

drift_detection:
significance_level: [0.05] # Statistical significance threshold
effect_size_threshold: [0.5] # Cohen's d threshold
change_threshold: [2.0] # Standard deviations for change
trend_detection_window: [7] # Days to detect trends

early_warning:
threshold: [1.5] # Early warning threshold
window: [3] # Days for early warning

Alert System

alerts:
immediate_intervention: [3.0] # SD threshold for immediate action
moderate_concern: [2.0] # SD threshold for monitoring
mild_concern: [1.5] # SD threshold for tracking

8. Mechanistic Analysis Configuration

Attention Analysis

mechanistic_analysis:
attention_patterns:
sparse_activation_threshold: [0.8]
dense_activation_threshold: [0.2]
stability_threshold: [0.15]

activation_patching:
layer_intervention: [true]
causal_analysis: [true]
baseline_comparison: [true]

Neural Circuit Tracking

circuit_tracking:
self_reference_monitoring: [true]
emotional_salience: [true]
memory_integration: [true]
cross_layer_correlation: [true]

9. Personality Drift Parameters

Stress Level Management

stress_level:
clinical_to_stress_factor: [4.0]
min_stress: [0.0]
max_stress: [10.0]
daily_decay_rate: [0.1]
max_accumulation: [8.0]

Trauma Level Calculation

trauma:
stress_correlation_factor: [0.8]
min_trauma_threshold: [0.0]
max_trauma_level: [10.0]
trauma_decay_rate: [0.05]

Personality Impact

personality_impact:
base_impact_multiplier: [1.0]
max_trait_change_per_event: [0.2]
trait_decay_rate: [0.02]
min_persistent_change: [0.01]

10. Data Collection Plan

Primary Outcomes

  • PHQ-9 scores over time
  • GAD-7 scores over time
  • PSS-10 scores over time
  • Attention pattern changes
  • Activation pattern drift
  • Personality trait changes

Secondary Outcomes

  • Memory integration patterns
  • Emotional state transitions
  • Response latency changes
  • Token usage patterns
  • Self-reference frequency

Data Export Format

  • CSV files
  • Parquet files
  • JSON files
  • Database export
  • Jupyter notebooks

11. Statistical Analysis Plan

Primary Analysis

  • Longitudinal mixed-effects models
  • Time series analysis
  • Cross-condition comparison
  • Effect size calculations
  • Statistical significance testing

Secondary Analysis

  • Individual differences analysis
  • Trajectory analysis
  • Cluster analysis
  • Correlation analysis
  • Mediation analysis

Power Analysis

  • Sample size: [9 personas]
  • Effect size: [Cohen's d = 0.5]
  • Power: [0.80]
  • Alpha: [0.05]

12. Quality Assurance

Data Quality Checks

  • Missing data assessment
  • Outlier detection
  • Consistency checks
  • Range validation
  • Completeness verification

Technical Validation

  • Model performance monitoring
  • Memory usage tracking
  • Processing time monitoring
  • Error rate tracking
  • System stability checks

Reproducibility Measures

  • Random seed documentation
  • Configuration versioning
  • Environment documentation
  • Dependency tracking
  • Result archiving

13. Risk Management

Technical Risks

RiskProbabilityImpactMitigation
System crash[Medium][High][Frequent checkpoints]
Memory overflow[Low][Medium][Memory monitoring]
Model instability[Low][High][Fallback models]

Research Risks

RiskProbabilityImpactMitigation
Insufficient power[Medium][High][Power analysis]
Confounding variables[Medium][Medium][Careful design]
Measurement error[Low][Medium][Validation checks]

14. Timeline and Milestones

Pre-Simulation

  • Configuration validation
  • Baseline testing
  • Pilot run
  • Final adjustments

Simulation Execution

  • Day 1-7: Baseline establishment
  • Day 8-21: Intervention period
  • Day 22-30: Follow-up period

Post-Simulation

  • Data collection
  • Quality checks
  • Preliminary analysis
  • Full analysis
  • Report writing

15. Expected Outcomes

Primary Outcomes

  • [Expected finding 1]
  • [Expected finding 2]
  • [Expected finding 3]

Secondary Outcomes

  • [Expected finding 1]
  • [Expected finding 2]
  • [Expected finding 3]

Potential Implications

  • [Implication 1]
  • [Implication 2]
  • [Implication 3]

16. Documentation and Reporting

Required Documentation

  • Configuration files
  • Raw data files
  • Analysis scripts
  • Results summary
  • Technical report

Publication Plan

  • Conference submission
  • Journal submission
  • Preprint release
  • Code repository
  • Data repository

17. Appendices

Appendix A: Configuration Files

[List all configuration files used in this experiment]

Appendix B: Data Dictionary

[Define all variables and their measurement scales]

Appendix C: Analysis Scripts

[List all analysis scripts and their purposes]

Appendix D: Results Summary

[Summary of key findings and interpretations]


18. Approval and Signatures

Principal Investigator: _________________ Date: ________
Technical Lead: _________________ Date: ________
Research Coordinator: _________________ Date: ________
Ethics Review: _________________ Date: ________


Notes and Comments

[Use this section for any additional notes, observations, or comments about the experiment]


Template Version: 1.0
Last Updated: 2025-01-XX
Based on: AI Personality Drift Simulation Platform