# ASA: A Simulation Environment for Evaluating Military Operational Scenarios

arXiv: https://arxiv.org/abs/2207.12084 · HTML: https://mlsanity.com/paper/2207.12084/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Jun 2022.

## Built on by (most cited first, 3 of 3)

- [Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations](https://mlsanity.com/paper/2207.04188/) (2022)
- [Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach](https://mlsanity.com/paper/2304.09669/) (2023)
- [Real-Time Surface-to-Air Missile Engagement Zone Prediction Using Simulation and Machine Learning](https://mlsanity.com/paper/2311.11905/) (2023)

## Abstract (arXiv)

The Aerospace Simulation Environment (Ambiente de Simulacc~ao Aeroespacial -- ASA in Portuguese) is a custom-made object-oriented simulation framework developed mainly in C++ that enables the modeling and simulation of military operational scenarios to support the development of tactics and procedures in the aerospace context for the Brazilian Air Force. This work describes the ASA framework, bringing its distributed architecture for managing multiple simulation machines, a data analysis platform for post-processing simulation data, the capability of loading models at simulation runtime, and a batch mode execution platform to perform multiple independent executions simultaneously. In addition, we present a list of recent works using the ASA framework as a simulation tool in the air combat context.