Imagine you want to test a self-driving car in a virtual world. This invention describes a system where you tell it *what* you want to test in simple terms, like "test for sudden braking." The system then automatically creates detailed virtual test scenarios, runs them, and checks how well the car performs. If the car doesn't perform well enough, the system automatically generates new, harder tests, specifically focusing on things like vehicle paths and how other virtual actors behave, until the car passes.
Why it matters: Filed just before the widespread accessibility of advanced generative AI. The system's core task of converting declarative descriptions into detailed simulation scenarios and generating variations is now significantly more feasible and powerful with modern large language models.
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