Managing Driving Modes in Automated Driving Systems
Current technology is unable to produce massively deployable, fully automated vehicles that do not require human intervention. Given that such limitations are projected to persist for decades, scen…
Learning the Rules of the Game : An Interpretable AI for Learning How to Play
In this article, we present an interpretable artificial intelligence, and its associated machine learning algorithm, that is capable of automatically learning the rules of a game whenever the rules…
Modeling Ethical and Operational Preferences in Automated Driving Systems
Whereas automated driving technology has made tremendous gains in the last decade, significant questions remain regarding its integration into society. Given its revolutionary nature, the use of au…
An Adversarial Risk Analysis Framework for Batch Acceptance Problems
We provide an adversarial risk analysis framework for batch acceptance problems in which a decision maker relies exclusively on the size of the batch to accept or reject its admission to a system, …
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