Can an ancient algorithm outperform modern machine learning? Testing the King Wen sequence-based optimization method in a simulated Warring States environment.
The complete research paper presenting the hypothesis and methodology for testing ancient optimization algorithms against modern machine learning.
Seeking endorsement for cs.ai submission. If you have the credentials and are interested in ancient algorithms and modern AI, your support would be greatly appreciated.
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PY3OJU
All 7 historical states use standard machine learning optimization.
Same setup, but Han uses King Wen sequence-based optimization method — inspired by I Ching principles.
The hypothesis is supported - ancient algorithms may have untapped potential.
The hypothesis is falsified - modern methods remain superior.
If the King Wen method helps Han rise, it suggests ancient algorithms may have untapped potential in modern strategy optimization.
For testing a new learning algorithm, you`d want a historically disadvantaged but initially viable state. Here are other candidates that could serve as interesting underdogs:
Once Mighty, Then Declined - Started strong but made critical strategic errors.
AI Challenge: Reverse-engineer successful Qin deterrence
Opportunity: Test long-term planning and strategic correction
Isolated and Slow to Act - Remote and culturally less integrated.
AI Challenge: Build stable power base in the north
Opportunity: Use unconventional warfare and early alliances
Brave but Overwhelmed - Had strong warriors but poor high-level decision-making.
AI Challenge: Balance tactical vs. strategic skills
Opportunity: Leverage military talent with better strategy
Dark Horse Option - Minor state, Confucius`s homeland.
AI Challenge: Lead minor state to major power
Opportunity: Use ideology-based diplomacy
Complex Geopolitics - Large territory but fragmented control.
AI Challenge: Manage vast territory effectively
Opportunity: Test complex alliance dynamics
Test Restraint - Historically dominant, but can AI show restraint?
AI Challenge: Test restraint, not power
Opportunity: Avoid over-aggression and maintain stability
Han is historically the most constrained — minimal land, minimal power, first to die. If your AI can lead Han to survive or even dominate, you have a powerful system.
Scaling Strategy: Start with Han (baseline AI), then scale up to Wei/Yan (advanced challenge), Zhao/Chu (complex geopolitics), and Qin (test restraint, not power).