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.