babylon.config.defines.consciousness

Consciousness, solidarity, contradiction-field and bifurcation coefficients.

Spec 058: extracted from the historical babylon.config.defines monolith. Re-exported via babylon.config.defines.__init__; composed into GameDefines in babylon.config.defines._assembler.

Classes

BifurcationDefines(**data)	Bifurcation Topology Analysis coefficients (Feature 033).
ConsciousnessDefines(**data)	Consciousness drift coefficients.
ContradictionFieldDefines(**data)	Contradiction field topology coefficients (Feature 002).
EdgeTransitionDefines(**data)	Edge mode transition threshold values (Feature 002, FR-010).
SolidarityDefines(**data)	Solidarity and consciousness transmission coefficients.

class babylon.config.defines.consciousness.BifurcationDefines(**data)

Bases: BaseModel

Bifurcation Topology Analysis coefficients (Feature 033).

Configures consciousness-weighted solidarity analysis that predicts whether crisis routes to fascism or revolution. The core innovation: a nonlinear sigmoid of collective_identity weights solidarity edges so assimilationist solidarity classifies as fragile/fascist.

See also

babylon.domain.bifurcation.consciousness: Sigmoid weighting. babylon.domain.bifurcation.analysis: Full bifurcation orchestrator. specs/033-bifurcation-topology/spec.md: Feature specification.

Parameters:

• consciousness_sigmoid_midpoint (float)

• consciousness_sigmoid_steepness (float)

• consciousness_filter_threshold (float)

• indeterminate_dead_zone (float)

• axis_tendency_epsilon (float)

• legitimation_amplifier_scale (float)

• wage_ceiling_high_ratio (float)

• wage_ceiling_low_ratio (float)

• wage_ceiling_min (float)

• wage_ceiling_max (float)

• shared_exploitation_bonus (float)

• purge_removal_rate (float)

model_config: ClassVar[ConfigDict] = {'frozen': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

consciousness_sigmoid_midpoint: float

consciousness_sigmoid_steepness: float

consciousness_filter_threshold: float

indeterminate_dead_zone: float

axis_tendency_epsilon: float

legitimation_amplifier_scale: float

wage_ceiling_high_ratio: float

wage_ceiling_low_ratio: float

wage_ceiling_min: float

wage_ceiling_max: float

shared_exploitation_bonus: float

purge_removal_rate: float

class babylon.config.defines.consciousness.ConsciousnessDefines(**data)

Bases: BaseModel

Consciousness drift coefficients.

Parameters:

• sensitivity (float)

• decay_lambda (float)

• routing_scale (float)

• agitation_decay_rate (float)

• exploitation_sensitivity (float)

• rent_decline_sensitivity (float)

• reproduction_visibility_coefficient (float)

• repression_backfire (float)

• rent_opacity_factor (float)

• agitation_consumption_rate (float)

• liberal_drift_rate (float)

• educate_base_effect (float)

• agitation_education_threshold (float)

• education_pressure_decay (float)

model_config: ClassVar[ConfigDict] = {'frozen': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

sensitivity: float

decay_lambda: float

routing_scale: float

agitation_decay_rate: float

exploitation_sensitivity: float

rent_decline_sensitivity: float

reproduction_visibility_coefficient: float

repression_backfire: float

rent_opacity_factor: float

agitation_consumption_rate: float

liberal_drift_rate: float

educate_base_effect: float

agitation_education_threshold: float

education_pressure_decay: float

class babylon.config.defines.consciousness.ContradictionFieldDefines(**data)

Bases: BaseModel

Contradiction field topology coefficients (Feature 002).

Configures normalization bounds, history window depth, and transition thresholds for the dialectical field topology systems.

See also

specs/002-dialectical-field-topology/spec.md: FR-001 through FR-019

Parameters:

• field_min (float)

• field_max (float)

• history_window (int)

• curvature_alpha (float)

• co_optive_suppression_rate (float)

• latent_release_multiplier (float)

• default_transition_priority (int)

model_config: ClassVar[ConfigDict] = {'frozen': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

field_min: float

field_max: float

history_window: int

curvature_alpha: float

co_optive_suppression_rate: float

latent_release_multiplier: float

default_transition_priority: int

class babylon.config.defines.consciousness.EdgeTransitionDefines(**data)

Bases: BaseModel

Edge mode transition threshold values (Feature 002, FR-010).

Configures the threshold values used in predicate conditions that determine when edges transition between modes (EXTRACTIVE, TRANSACTIONAL, CO-OPTIVE, etc.).

Parameters:

• extraction_contested_threshold (float)

• extraction_broken_threshold (float)

• concessions_exploitation_threshold (float)

• concessions_rent_threshold (float)

• mutual_aid_threshold (float)

• market_failure_threshold (float)

• power_asymmetry_threshold (float)

• co_optive_power_threshold (float)

• solidarity_degrades_threshold (float)

• betrayal_threshold (float)

• conflict_resolved_threshold (float)

• shared_enemy_threshold (float)

• reform_rent_threshold (float)

• co_optation_normalizes_threshold (float)

• co_optive_breakdown_threshold (float)

• concessions_withdrawn_threshold (float)

model_config: ClassVar[ConfigDict] = {'frozen': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

extraction_contested_threshold: float

extraction_broken_threshold: float

concessions_exploitation_threshold: float

concessions_rent_threshold: float

mutual_aid_threshold: float

market_failure_threshold: float

power_asymmetry_threshold: float

co_optive_power_threshold: float

solidarity_degrades_threshold: float

betrayal_threshold: float

conflict_resolved_threshold: float

shared_enemy_threshold: float

reform_rent_threshold: float

co_optation_normalizes_threshold: float

co_optive_breakdown_threshold: float

concessions_withdrawn_threshold: float

class babylon.config.defines.consciousness.SolidarityDefines(**data)

Bases: BaseModel

Solidarity and consciousness transmission coefficients.

Parameters:

• scaling_factor (float)

• activation_threshold (float)

• mass_awakening_threshold (float)

• negligible_transmission (float)

• superwage_impact (float)

model_config: ClassVar[ConfigDict] = {'frozen': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

scaling_factor: float

activation_threshold: float

mass_awakening_threshold: float

negligible_transmission: float

superwage_impact: float