On games and simulators as a platform for development of artificial intelligence for command and control

Author:

Goecks Vinicius G1ORCID,Waytowich Nicholas2,Asher Derrik E2,Jun Park Song2,Mittrick Mark2,Richardson John2,Vindiola Manuel2,Logie Anne2,Dennison Mark3,Trout Theron2,Narayanan Priya2,Kott Alexander2

Affiliation:

1. Human Research and Engineering Directorate, DEVCOM Army Research Laboratory, USA

2. DEVCOM Army Research Laboratory, USA

3. DEVCOM Army Research Laboratory West, USA

Abstract

Games and simulators can be a valuable platform to execute complex multi-agent, multiplayer, imperfect information scenarios with significant parallels to military applications: multiple participants manage resources and make decisions that command assets to secure specific areas of a map or neutralize opposing forces. These characteristics have attracted the artificial intelligence (AI) community by supporting development of algorithms with complex benchmarks and the capability to rapidly iterate over new ideas. The success of AI algorithms in real-time strategy games such as StarCraft II has also attracted the attention of the military research community aiming to explore similar techniques in military counterpart scenarios. Aiming to bridge the connection between games and military applications, this work discusses past and current efforts on how games and simulators, together with the AI algorithms, have been adapted to simulate certain aspects of military missions and how they might impact the future battlefield. This paper also investigates how advances in virtual reality and visual augmentation systems open new possibilities in human interfaces with gaming platforms and their military parallels.

Funder

Army Research Laboratory

Publisher

SAGE Publications

Subject

Engineering (miscellaneous),Modeling and Simulation

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adversarial attacks on reinforcement learning agents for command and control;The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology;2024-09-05

2. Investigating the mission impact of non-kinetic variables in the operational environment;Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI;2024-06-07

3. COA-GPT: Generative Pre-Trained Transformers for Accelerated Course of Action Development in Military Operations;2024 International Conference on Military Communication and Information Systems (ICMCIS);2024-04-23

4. Military Decision Support with Actor and Critic Reinforcement Learning Agents;Defence Science Journal;2024-02-26

5. A Reinforcement Learning Approach to Military Simulations in Command: Modern Operations;IEEE Access;2024

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