HajiBiMokh: Decimal Neutral-Card Cognitive Counting System for Hi-Low Strategy Optimization

This paper presents an enhancement of the traditional Hi-Low card counting system by incorporating fractional tracking for neutral cards.Instead of ignoring 7, 8, and 9 cards, the proposed “HajiBiMokh Decimal Cognitive System” assigns them small decimal values (±0.1 to ±0.01) to maintain cognitive balance and improve accuracy.This approach helps players maintain a more stable running count while reducing mental load and increasing adaptability during real blackjack play.The model represents a human-oriented optimization of existing mathematical systems for blackjack strategy analysis.