Relative Advantage Analysis

1. Resource Acquisition Advantage
   • Measures which agent types are better at acquiring resources
   • Analyzes average resource levels across different simulation phases (early, mid, late)
   • Tracks advantage trajectories to see if advantages increase or decrease over time
2. Reproduction Advantage
   • Compares reproduction success rates between agent types
   • Analyzes reproduction efficiency (resources spent per successful reproduction)
   • Tracks first reproduction timing (which agent type reproduces earlier)
   • Measures reproductive output (total offspring produced)
3. Survival Advantage
   • Compares average lifespans between agent types
   • Analyzes survival rates (percentage of agents still alive)
   • Tracks mortality patterns across simulation phases
4. Population Growth Advantage
   • Measures population growth rates across simulation phases
   • Analyzes population stability (consistency of growth)
   • Tracks population recovery after setbacks
5. Combat Advantage
   • Compares combat success rates between agent types
   • Analyzes resource gain from combat
   • Tracks combat initiation patterns (which agent types initiate combat more often)
6. Composite Advantage
   • Combines multiple advantage dimensions into a comprehensive score
   • Weights different advantage types based on their correlation with dominance
   • Provides an overall measure of which agent type has the greatest advantage
7. Advantage-Dominance Correlation
   • Analyzes how different advantages correlate with eventual dominance
   • Identifies which advantages are most predictive of dominance outcomes
   • Determines threshold levels of advantage needed to achieve dominance

Analysis Capabilities

1. Cross-Simulation Analysis
   • Analyzes advantage patterns across multiple simulations
   • Identifies consistent advantage patterns that emerge across different initial conditions
   • Determines the stability of advantages across simulations
2. Temporal Analysis
   • Tracks how advantages evolve over time within simulations
   • Identifies critical phases where advantages are established
   • Analyzes advantage trajectories (increasing, decreasing, or stable)
3. Advantage Pattern Analysis
   • Identifies correlations between different types of advantages
   • Determines which advantages tend to co-occur
   • Analyzes how early advantages translate to later advantages
4. Advantage-Dominance Relationship
   • Analyzes how advantages correlate with eventual dominance
   • Identifies threshold levels of advantage needed for dominance
   • Determines which advantages are most predictive of dominance
5. Advantage Recommendations
   • Provides recommendations for improving agent performance based on advantage analysis
   • Identifies critical advantages that should be prioritized
   • Suggests timing strategies for when to focus on different advantages

Visualization Capabilities

1. Advantage Correlation Matrix - Shows correlations between different advantage types and dominance
2. Advantage Category Importance - Visualizes which advantage categories matter most for each agent type
3. Top Dominance Predictors - Shows which specific advantages best predict dominance for each agent type
4. Advantage Thresholds - Visualizes the threshold levels of advantage needed to achieve dominance
5. Advantage Timing - Shows when different advantages matter most during simulation phases
6. Composite Advantage Breakdown - Visualizes the components of the composite advantage score
7. Advantage Trajectories - Shows how advantages evolve over time within simulations

This relative advantage analysis framework provides a comprehensive set of tools for understanding which agent types have advantages in different dimensions, how these advantages evolve over time, and how they contribute to eventual dominance in your simulations.