Crate bhava 

Bhava — Emotion and personality engine for AGNOS

Sanskrit: भाव (bhava) — emotion, feeling, state of being

Provides a unified personality and emotional state system for AI agents, game NPCs, and any entity that needs expressive behavior. Extracted from SecureYeoman’s soul/brain architecture.

Modules

• traits — 15-dimension personality spectrums with behavioral instructions
• mood — Emotional state vectors with time-based decay, triggers, history, and mood-aware prompts
• archetype — Identity hierarchy (Soul/Spirit/Brain/Body/Heart) with templates and validation
• sentiment — Keyword-based sentiment analysis with negation, intensity modifiers, and sentence-level analysis
• [presets] — Built-in personality templates (BlueShirtGuy, T.Ron, Friday, Oracle, Scout)
• spirit — Passions, inspirations, and pains — the animating force
• relationship — Inter-entity affinity, trust, and interaction tracking
• appraisal — OCC appraisal model — goal-aware emotion generation
• stress — Allostatic load / burnout modeling
• regulation — Emotion regulation strategies (suppress, reappraise, distract)
• growth — Experience-driven personality evolution
• monitor — Live sentiment monitoring for streaming text
• [ai] — System prompt composition, sentiment feedback, and agent metadata
• store — Storage trait for pluggable persistence backends
• [storage] — SQLite persistence implementation (feature: sqlite)
• rhythm — Biological rhythms: ultradian, seasonal, and biorhythm cycles
• microexpr — Micro-expression detection during emotional suppression
• affective — Affective computing metrics (complexity, granularity, inertia, variability)
• proximity — Spatial proximity triggers for location-based mood effects
• reasoning — Personality-driven reasoning strategy selection
• active_hours — Time-of-day personality activation scheduling
• eq — Emotional intelligence (EQ) — Mayer-Salovey four-branch model
• display_rules — Cultural display rules (Matsumoto framework)
• energy — Depletable energy resource with Banister fitness-fatigue model
• circadian — 24-hour alertness cycle with chronotype (Borbély two-process)
• flow — Flow state detection with hysteresis (Csikszentmihalyi)
• salience — Somatic marker urgency/importance scoring (Damasio)
• actr — ACT-R frequency × recency memory activation with Hebbian boost
• preference — Adaptive preference learning from interaction outcomes
• belief — Belief system — memories crystallize into beliefs, beliefs form self-concept, self-understanding deepens into cosmic understanding
• intuition — Subconscious pattern integration — gut feelings from converging subsystems
• aesthetic — Aesthetic attribution — repeated exposure crystallizes into beliefs and trait pressure
• [compat] — Jantu creature behavior integration (feature: instinct)
• error — Error types

Re-exports

pub use error::BhavaError;

Modules

active_hours

Active hours — time-of-day personality activation scheduling.

actr

ACT-R activation math — frequency × recency memory activation with Hebbian boost.

aesthetic

Aesthetic attribution — repeated aesthetic exposure crystallizes into beliefs.

affective

Affective computing metrics — quantitative measures of emotional behavior.

appraisal

OCC Appraisal — goal-aware emotion generation.

archetype

Identity hierarchy — the “In Our Image” archetype system.

belief

Belief system — memories crystallize into beliefs, beliefs form self-concept, self-understanding deepens into cosmic understanding.

circadian

Circadian rhythm — 24-hour alertness and mood cycle.

display_rules

Cultural display rules — context-dependent expression modification.

energy

Energy / fatigue system — depletable resource with Banister fitness-fatigue model.

eq

Emotional intelligence (EQ) — the Mayer-Salovey four-branch model.

error

Error types for bhava.

flow

Flow state detection — threshold detector over mood dimensions.

growth

Experience-driven personality growth — traits evolve from accumulated events.

intuition

Subconscious pattern integration — gut feelings from converging subsystems.

microexpr

Micro-expressions — involuntary emotional leaks during suppression.

monitor

Live sentiment monitoring — continuous feedback during text streams.

mood

Emotional state vectors with time-based decay.

preference

Preference learning — adaptive feedback patterns from interaction history.

proximity

Spatial proximity triggers — location-based mood effects.

reasoning

Reasoning strategy selection — personality-driven cognitive mode.

regulation

Emotion regulation — strategies for managing emotional responses.

relationship

Relationship graph — inter-entity affinity, trust, and interaction tracking.

rhythm

Biological rhythms — periodic mood modulation cycles.

salience

Salience classification — somatic marker urgency/importance scoring.

sentiment

Sentiment analysis — classify text into emotional categories.

spirit

Spirit system — the animating force within an agent.

store

Storage trait — abstract persistence interface for bhava state.

stress

Stress / allostatic load — chronic accumulated emotional wear.

traits

Personality trait spectrums — behavioral dimensions with graduated levels.