Challenges and Characteristics of Intelligent Autonomy for Internet of Battle Things in Highly Adversarial Environments
Addresses critical gaps in current AI/ML for military applications in adversarial settings.
This paper examines the requirements and challenges for intelligent autonomous systems in future battlefield networks (Internet of Battle Things), focusing on capabilities needed for operation in highly adversarial environments with human collaboration.
Numerous, artificially intelligent, networked things will populate the battlefield of the future, operating in close collaboration with human warfighters, and fighting as teams in highly adversarial environments. This paper explores the characteristics, capabilities and intelligence required of such a network of intelligent things and humans - Internet of Battle Things (IOBT). It will experience unique challenges that are not yet well addressed by the current generation of AI and machine learning.