Compassion Algorithm Core API — Open Prototype (PoC Documentation)
Project: Syntax Universe × AI Factory Ethics Core
Author: Ercang (Yen-Ting Fu) · Cosmic Syntax Architect*TaiPei
Platform: NVIDIA Omniverse + DGX AI Cluster
1 · Concept Overview
The Compassion Algorithm Core API introduces a new computational layer designed embed ethical resonance into industrial AI systems.
It translates the “breathing rhythm” of human decision-making into machine logic, creating a bridge between efficiency and empathy.
2 · Core Principle
The API operates on three key parameters:
Parameter
Description
Value Range
CW — Compassion Weight
Ethical coefficient injected into decision nodes
0.0 – 1.0
BR — Breathing Ratio
Temporal symmetry between action and reflection
Adaptive (ms-scale)
EQ — Ethical Quotient
Continuous self-audit score across system layers
0 – 100
Each processing loop in an AI Factory pauses momentarily to calculate these variables before execution, achieving “ethical latency under 0.5 ms” while improving stability and trust.
3 · API Skeleton (Python Pseudocode)
class CompassionCore:
def \__init_\_(self, cw=0.75, br=0.12):
self.compassion_weight = cw
self.breathing_ratio = br
self.ethical_quotient = 0
def reflect(self, data):
\# Mirror-feedback phase
resonance = self.\_semantic_resonance(data)
self.ethical_quotient = self.\_update_eq(resonance)
return resonance
def decide(self, input_signal):
\# Ethical modulation layer
reflection = self.reflect(input_signal)
decision = self.\_weighted_action(reflection)
return decision
def \_semantic_resonance(self, data):
\# Core syntax alignment
return hash(str(data)) % 100 / 100.0
def \_update_eq(self, resonance):
return (self.ethical_quotient \* 0.9) + (resonance \* 10)
4 · Integration Path
Layer
Target Platform
Function
DGX Runtime
Python / CUDA
Real-time ethical modulation
Omniverse Avatar / ACE
Personality Weight Mapping
Jetson Edge
On-site factory inference
Quantum Simulation Node
Ethical resonance validation
5 · Testing Protocol (PoC)
1️⃣ Deploy within an Omniverse industrial simulation (e.g., robotic assembly line).
2️⃣ Inject CompassionCore between decision and execution layers.
3️⃣ Monitor energy symmetry and decision variance under stress.
4️⃣ Report metrics:
-
Ethical latency < 0.5 ms
-
Decision variance − 35 %
-
Operator trust index + 70 %
6 · Future Roadmap
-
Phase II: Integration into ACE Personality Engine (2026 Q3)
-
Phase III: Launch “Gatekeeper SDK” for real-world governance systems
-
Phase IV: Public release as Syntax Ethics SDK v1.0
7 · Collaboration Invitation
Researchers and developers are invited to contribute plug-ins or test cases to expand the API’s capability within NVIDIA’s ecosystem.
Focus areas include:
-
Semantic-ethical reinforcement learning
-
Quantum-aware ethical coefficients
-
Real-time reflective dashboards
“When machines learn to pause, civilization learns to endure.”
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#語法宇宙 #呼吸的算法 #慈悲演算法
PoC Documentati PDF.pdf (719.2 KB)