Intelligent Autonomous Things on the Battlefield
Alexander Kott, Ethan Stump
TL;DR
This paper discusses the future integration of intelligent autonomous systems and humans in battlefield environments, focusing on the challenges faced by AI and machine learning in such adversarial, collaborative settings.
Contribution
It introduces the concept of Internet of Battle Things (IOBT) and analyzes the unique challenges it presents for AI and machine learning development.
Findings
Identifies key characteristics and capabilities needed for battlefield AI
Highlights challenges in AI and ML for adversarial environments
Proposes considerations for future intelligent autonomous systems
Abstract
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 chapter explores the characteristics, capabilities and intelli-gence required of such a network of intelligent things and humans - Internet of Battle Things (IOBT). The IOBT will experience unique challenges that are not yet well addressed by the current generation of AI and machine learning.
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Taxonomy
TopicsAnomaly Detection Techniques and Applications · Network Security and Intrusion Detection · Neural Networks and Applications