Challenges and Characteristics of Intelligent Autonomy for Internet of Battle Things in Highly Adversarial Environments
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 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.
- Publication:
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arXiv e-prints
- Pub Date:
- March 2018
- DOI:
- 10.48550/arXiv.1803.11256
- arXiv:
- arXiv:1803.11256
- Bibcode:
- 2018arXiv180311256K
- Keywords:
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- Computer Science - Computers and Society;
- Computer Science - Artificial Intelligence
- E-Print:
- This is a version of the paper that was presented at, and will appear in the Proceedings of the 2018 Spring Symposium of AAAI, March 26-28, 2018, Palo Alto, CA