Descriptive versus Regulatory Uncertainty in Bounded Predictive Systems
Any system that models the world under finite representational capacity must compress; any compression entails a prior; and the prior is the system's bias. What has not been established is whether uncertainty participates in the dynamics governing future behavior, or merely describes the output distribution without consequence. We introduce a structural distinction between descriptive uncertainty, which does not recursively modulate the system's policy, and regulatory uncertainty, which directly enters the optimization landscape and drives persistent adaptive restructuring. We prove formally that current transformer architectures are confined to descriptive uncertainty at inference. We gr...
| Authors | Ahmed Gamal Eldin |
|---|---|
| Primary category | cs.LG |
| Published | 17 May 2026 |
| Last updated at source | 14 June 2026 |
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