Affective State Estimator (Valence-Arousal + Appraisal + Modulation)
CommunityAffect-aware AI powered by PAD mood control.
Data & Analytics#neuroscience#mood#reinforcement-learning#modulation#appraisal#affect#valence-arousal
Authorsovr610
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Estimate the system's affective state (Valence, Arousal, Dominance) from internal cognitive signals and expose it as a modulation surface for downstream modules, enabling mood-aware decision making and adaptive behavior.
Core Features & Use Cases
- PAD mapping with both analytic and optional learned mappings to convert internal signals into a 3D affective representation.
- Appraisal integration (relevance, congruence, coping potential, norm compatibility) to derive mood and guide modulation targets.
- Deterministic, bounded outputs with mood-congruent bias and configurable presets suitable for production-grade cognitive architectures.
- Use cases include mood-informed learning rate control, attention modulation, exploration strategy tuning, memory prioritization, and risk sensitivity across AI agents.
Quick Start
Provide internal cognitive signals to the estimator and observe Valence, Arousal, Dominance and the ModulationVector in downstream modules.
Dependency Matrix
Required Modules
torch
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Affective State Estimator (Valence-Arousal + Appraisal + Modulation) Download link: https://github.com/sovr610/refffiy/archive/main.zip#affective-state-estimator-valence-arousal-appraisal-modulation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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