A
ADSS V8 — Operational Analysis
Single Engine Architecture
Configuration
Target City
Immenstaad (Airbus)
Berlin (Bundestag)
Muenchen (Flughafen)
Ramstein (Air Base)
Buechel (Fliegerhorst)
Kiel (Marine)
Threat Configuration
Drohnen (UAV)
Cruise Missiles
Ballistic
Fighter Jet
Stealth Jet
Hypersonic
Defenders
MANTIS C-RAM
IRIS-T SLM
Patriot PAC-3
Actions
Start Simulation
Monte Carlo Analysis
KI Optimierung
Episoden:
Q-Learning trainieren
DQN trainieren (Neuronales Netz)
PPO trainieren (Policy Gradient)
Bereit
Vergleich (
0
Runs)
[SYS] ADSS V8 ready. Single C++ Engine.
Monte Carlo Analysis
X
What is Monte Carlo?
The simulation runs
1,000-10,000 times
with randomized parameters. You get a
statistically robust
kill probability with standard deviation. Used in NATO STANAG 4461.
Variation Parameters
Parameter
Base
Spread
Approach Speed
by type
%
Start Position
perimeter
km
Radar Cross Section
by type
%
Approach Angle
configured
deg
Flight Altitude
by type
%
Number of Runs
--
Progress
Ready
Results
Metric
Mean
Std
Min
Max
Run Monte Carlo
Close
KI V2 — Training & Vergleich
X
Fortschritt
Bereit
Reward-Kurve (DQN / PPO)
Training Log
Ergebnisse
Methode
Pk
Damage
vs Standard
Replay mit bester KI
Schliessen
Simulation Result
X
OK
Restart (same seed)
Vergleich — Run History
X
Noch keine Runs. Starte eine Simulation.
History loeschen
Schliessen
T+000s
Pause
1x
4x
16x