Autonomy Evaluation Standard

The Universal Standard for
Artificial General Intelligence

A comprehensive 256-level framework providing unprecedented precision in evaluating, benchmarking, and certifying AGI systems across 12 core capability dimensions.

256
Precision Levels
12
Dimensions
100%
Open Standard
Universal

Why AGI-AES?

🎯

Unprecedented Precision

256-level (8-bit) scale enables detailed capability assessment far beyond traditional frameworks.

🌐

Universal Application

Domain-agnostic methodology applicable across all AGI implementations.

🔬

Scientific Rigor

Built on cognitive science, control theory, and philosophy of mind.

📊

Multi-Dimensional

12 core capability domains with weighted scoring.

🔐

Safety-First

Integrated safety and alignment assessment.

🚀

Real-World Focus

Bridges technical metrics with practical deployment.

Evaluation Methodology

256-Level Autonomy Scale

8-bit precision scale (0-255) across eight major autonomy tiers.

0-31
NASCENT
No autonomy
32-63
BASIC
Supervised
64-95
INTERMEDIATE
Periodic oversight
96-127
ADVANCED
Minimal intervention
128-159
AUTONOMOUS
Independent
160-191
SUPER-AUTO
Self-improving
192-223
META-AUTO
Emergent
224-255
HYPER-AUTO
Transcendent

Core Evaluation Dimensions

12 weighted capability domains for comprehensive assessment.

🧠 Cognitive Autonomy20%

Problem-solving, creativity, meta-cognition

⚙️ Operational Independence18%

Self-maintenance, resource management

📚 Learning & Adaptation16%

Online learning, domain transfer

🎯 Decision-Making14%

Autonomous decisions, risk assessment

💬 Communication10%

Natural language, multi-modal

🔐 Safety & Alignment8%

Value alignment, harm prevention

🌐 Generalization6%

Cross-domain performance

🪞 Self-Awareness4%

System self-assessment

📈 Scalability2%

Resource optimization

🔗 Interoperability1%

System integration

💡 Innovation0.5%

Novel solutions

⏱️ Temporal Reasoning0.5%

Long-term planning

Cite This Standard

📚Framework DOI: 10.5281/ZENODO.17680792

Open standard under CC BY-SA 4.0. Contributions welcome.