# Default configuration for the world model simulation

simulation:
  steps: 200 # Increased steps for more detailed simulation
  runs: 50 # Increased runs for better statistical analysis

llm:
  engine: "openai"
  model: "gpt-4-turbo" # Using a more powerful model
  temperature: 0.5 # Slightly lower temperature for more realistic outputs
  max_tokens: 2048

market:
  volatility: 0.08
  risk_aversion: 0.6
  stock_symbols:
    - "AAPL"
    - "MSFT"
    - "GOOG"
    - "AMZN"
    - "TSLA"
    - "NVDA"
    - "JPM"
    - "V"
    - "JNJ"
    - "WMT"
  # New market parameters
  market_sentiment: 0.5 # 0-1 scale, 0.5 is neutral
  liquidity: 0.7 # 0-1 scale, 1 is high liquidity
  news_impact: 0.3 # How much news affects the market

economy:
  gdp_growth: 0.025
  inflation: 0.032
  interest_rate: 0.055
  unemployment: 0.045
  # New economic indicators
  consumer_confidence: 0.6 # 0-1 scale
  business_confidence: 0.7 # 0-1 scale
  housing_starts: 1.5 # in millions
  retail_sales: 0.01 # month-over-month growth
  cpi: 250.0 # Consumer Price Index

geopolitics:
  political_stability: 0.75
  trade_war_risk: 0.15
  regulatory_changes: 0.12
  # New geopolitical factors
  election_risk: 0.2 # Risk of a major election with uncertain outcome
  geopolitical_hotspots:
    - "East Asia"
    - "Middle East"
    - "Eastern Europe"
  terrorism_risk: 0.1

# New sections for more detailed simulation
environment:
  natural_disaster_risk: 0.05 # Probability of a major natural disaster
  climate_change_impact: 0.02 # Long-term impact of climate change on the economy

demographics:
  population_growth: 0.008
  aging_population_impact: 0.01 # Impact of an aging population on the economy

technology:
  technological_disruption_risk: 0.1 # Risk of a major technological disruption
  ai_adoption_rate: 0.05 # Rate of AI adoption in the economy