SOURCE-LINKED INTELLIGENCE
Indicators of resilience for autonomous control systems
As modern societies rely more on autonomous systems to facilitate daily life, assuring their safe operation is paramount. Naturally, there are many techniques available to predict and prevent system failures. However, the safety afforded by such schemes may become misaligned with the true system, which can change in unexpected ways - from partial faults to natural wear-and-tear - that subtly degrade its stability. The implications that such subtle changes have on autonomous system stability can be observed through generic indicators of resilience derived from critical slowing down, popular for
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T07:41:44.000Z
First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.