babylon.models.entities.economy
GlobalEconomy entity model for Sprint 3.4.4: Dynamic Balance.
GlobalEconomy tracks the system-wide economic state that enables dynamic bourgeois decision-making. This is the “Gas Tank” that forces scarcity and agency into the simulation.
Key insight: Without finite resources, the bourgeoisie can pay infinite super-wages and the simulation stalls at equilibrium. The imperial rent pool depletes as wages and subsidies are paid, forcing strategic decisions.
Components: - imperial_rent_pool: Accumulated rent from TRIBUTE edges (the Gas Tank) - current_super_wage_rate: Dynamic wage rate [min_wage_rate, max_wage_rate] - current_repression_level: System-wide repression modifier
Design decisions (Sprint 3.4.4): - Pool fed by post-tribute (what Core Bourgeoisie receives after comprador cut) - Aggressive thresholds: high=0.7, low=0.3, critical=0.1 - Repression as separate modifier (systems blend with per-class values)
Classes
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System-wide economic state for dynamic balance mechanics. |
- class babylon.models.entities.economy.GlobalEconomy(**data)[source]
Bases:
BaseModelSystem-wide economic state for dynamic balance mechanics.
The GlobalEconomy model tracks the “Gas Tank” (imperial rent pool) and the “Driver” parameters (wage rate, repression level) that the bourgeoisie can adjust based on pool levels and tension.
- Parameters:
- imperial_rent_pool
Accumulated imperial rent available for redistribution. Fed by TRIBUTE inflows, depleted by WAGES and CLIENT_STATE outflows. Default: 100.0 Currency.
- current_super_wage_rate
Dynamic wage rate for WAGES edges. Adjusts based on pool level and tension via decision heuristics. Range: [0.05, 0.35]. Default: 0.20 (20%).
- current_repression_level
System-wide repression modifier. Blended with per-class repression_faced values. Increases during austerity/crisis periods. Range: [0.0, 1.0]. Default: 0.5.
- Pool Flow Logic:
inflow = sum(tribute reaching Core Bourgeoisie after comprador cut) outflow = wages_paid + subsidy_paid delta = inflow - outflow new_pool = old_pool + delta
- Decision Thresholds (Aggressive):
pool_ratio >= 0.7: PROSPERITY (can increase wages) pool_ratio < 0.3: AUSTERITY (cut wages or increase repression) pool_ratio < 0.1: CRISIS (emergency measures, emit event)
- model_config: ClassVar[ConfigDict] = {'frozen': True, 'populate_by_name': True, 'validate_by_alias': True, 'validate_by_name': True}
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].