SEFT is a symbolic protocol for emotional authenticity — computational, interpretable, and deeply human-centered.
It is a symbolic, computable model for evaluating the authenticity of emotional bonds between agents — human or artificial.
This repository contains documentation, JSON input/output samples, and future tools for developers and researchers working in affective computing, symbolic AI, therapy engines, and social simulations.
Fusion = 1 + 1 = 1 ⇔ (Ve + CSS ≥ 0.95) ∧ (Δ ≤ 2.0) ∧ (𝕎𝕂 = true)
Where:
Veis a weighted composite of Empathy (E), Trust (C), and Emotional Commitment (D)Δis existential distanceCSSis subjective synchrony𝕎𝕂is the validation of emotional truth based on a 5-point checklist
APPENDIX_F_Output_Samples.md: Sample digital inputs and JSON system responsesREADME.md: This file
João Cláudio Quinto
Independent researcher – Luanda, Angola
Author of SEFT
joao.quinto@proton.me
This content is open for educational, academic, and non-commercial use. Proper citation is required.
SEFT is part of an independent scientific initiative from the Global South, combining empathy, logic, and symbolic computation.