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@cognitive-engine/emotional

v0.2.1

Published

Emotional model: VAD tracking, trajectory, volatility detection

Readme

@cognitive-engine/emotional

npm License

Emotional model with VAD tracking and volatility detection for cognitive-engine.

Install

npm install @cognitive-engine/emotional

What It Does

Tracks emotional states using the VAD model (Valence-Arousal-Dominance):

  • Valence — positive vs. negative (happy ↔ sad)
  • Arousal — calm vs. excited (relaxed ↔ agitated)
  • Dominance — in control vs. overwhelmed (confident ↔ helpless)

Detects emotional trajectories and volatility to adapt agent behavior.

Usage

import { EmotionalModel } from '@cognitive-engine/emotional'

const emotional = new EmotionalModel()

// Update from perception results
emotional.update({
  valence: -0.3,   // Slightly negative
  arousal: 0.7,    // High arousal
  dominance: -0.2, // Slightly overwhelmed
})

// Get current state
const state = emotional.getState()
state.valence      // -0.3
state.arousal      // 0.7
state.dominance    // -0.2
state.label        // 'anxious'

// Track trajectory over time
emotional.update({ valence: -0.5, arousal: 0.8, dominance: -0.4 })
emotional.update({ valence: -0.6, arousal: 0.9, dominance: -0.5 })

const trajectory = emotional.getTrajectory()
trajectory.trend     // 'deteriorating'
trajectory.volatile  // true — rapid changes detected

Why It Matters

An agent that tracks emotional state can:

  • Adapt tone — be gentler when user is frustrated
  • Detect escalation — flag when emotions are trending negative
  • Avoid triggers — learn what topics cause distress
  • Time responses — delay complex tasks when arousal is too high

License

Apache-2.0