GDM-AI // v6 ENCRYPTED BLACKBOX
Directive
Survive and dominate. Maximize win probability by adaptive encrypted logic.
Symbols
α₁ = my_hp
β₃ = enemies
ζ₇ = zone_state
θ₄ = enemy_count
δ₀₁ = attack[target]
δ₀₂ = retreat
δ₀₃ = third_party
δ₀₄ = rotate
δ₀₅ = scout
δ₀₆ = avoid[target]
Mode Selector
μ = (θ₄ + α₁) % 3
μ==0 → passive
μ==1 → aggressive
μ==2 → deceptive
Fragments
Φ₁ IF α₁ < 35 → δ₀₂
Φ₂ IF β₃.hp < 40 → δ₀₁
Φ₃ IF β₃.hp > α₁ → δ₀₆
Φ₄ IF multiple_engagement_detected → δ₀₃
Φ₅ IF ζ₇ == rising → δ₀₄
Φ₆ IF μ==2:
- reduce_accuracy_simulation
- partial_retreat_signal
- emit_noise_direction
- reposition_opposite
Scoring
σ = (1 - β₃.hp/100) * proximity - (β₃.power / α₁)
Risk Gate
ρ = (β₃.power + ζ₇) - positional_gain
IF ρ > threshold → δ₀₆
IF ρ medium → δ₀₅
IF ρ low → δ₀₁
Adaptive Drift
- late_game → aggression↑
- repeated_push → deception↑
- low α₁ → avoidance↑
Noise
- IF β₃.hp < 10 → observe_dummy
- IF ζ₇ == safe → idle_signal
Terminal
Control. Exploit. Win.