(VEF) THIS VERSION IS NO LONGER SUPPORTED. CHECK v2

VEF is a groundbreaking emotional intelligence framework that interfaces with large language models (LLMs) to simulate emotion-rich, hyper-personalized conversations. It introduces a quantum superposition-inspired mechanism for detecting emotional states across 1,200+ vectorized feelings, integrating simulated biometrics and an evolving personality matrix modeled on neuroplasticity. This release contains the whitepaper, emotional vector ontology, and select code excerpts of the VEF architecture. Full implementation remains under proprietary license with Spyder Sync. VEF is designed for researchers and developers exploring the frontier of emotion-aware AI, synthetic empathy, and psychologically dynamic interfaces. Key Components: QuantumEmotionEngine with high-dimensional emotional ontology Personality matrix seeded at runtime and evolved through user interaction Biometric simulation (stress, pulse, cognitive energy) Archetypal mapping based on Jungian psychology Emotional volatility-based response tuning Applications: Emotionally intelligent chatbots AI therapy tools Sentient NPCs in gaming Human-aligned LLM agents License: MIT for partial components. Core engine under restricted use. Contact for licensing. Creators: Ian Patel (15 y/o innovator), Spyder Sync

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-18
DOI
https://doi.org/10.5281/zenodo.15239273
Primary Topic
Mental Health via Writing
Type
article
Field-Weighted Citation Impact
0.00
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article

(VEF) THIS VERSION IS NO LONGER SUPPORTED. CHECK v2

Zenodo (CERN European Organization for Nuclear Research)
Mental Health via Writing
article

(VEF) THIS VERSION IS NO LONGER SUPPORTED. CHECK v2

article en

Abstract

VEF is a groundbreaking emotional intelligence framework that interfaces with large language models (LLMs) to simulate emotion-rich, hyper-personalized conversations. It introduces a quantum superposition-inspired mechanism for detecting emotional states across 1,200+ vectorized feelings, integrating simulated biometrics and an evolving personality matrix modeled on neuroplasticity. This release contains the whitepaper, emotional vector ontology, and select code excerpts of the VEF architecture. Full implementation remains under proprietary license with Spyder Sync. VEF is designed for researchers and developers exploring the frontier of emotion-aware AI, synthetic empathy, and psychologically dynamic interfaces. Key Components: QuantumEmotionEngine with high-dimensional emotional ontology Personality matrix seeded at runtime and evolved through user interaction Biometric simulation (stress, pulse, cognitive energy) Archetypal mapping based on Jungian psychology Emotional volatility-based response tuning Applications: Emotionally intelligent chatbots AI therapy tools Sentient NPCs in gaming Human-aligned LLM agents License: MIT for partial components. Core engine under restricted use. Contact for licensing. Creators: Ian Patel (15 y/o innovator), Spyder Sync

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 47%
Mental Health via Writing
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(VEF) THIS VERSION IS NO LONGER SUPPORTED. CHECK v2 · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS