Dead Reckoning Inference Engine
Ki · Reasoning
The Problem
The default behavior: Assuming the drone's position is accurate despite untracked uncertainty accumulation over the last hour of flight.
The Operation
When activated, the model must identify the quantity whose current value is needed but unobservable now. Anchor to last high-confidence direct observation; record value and timestamp. Identify known dynamics governing change: rates, drift patterns, acting forces. Project current most probable value by applying dynamics across elapsed time. Calculate uncertainty range from error accumulation per time unit times elapsed time. The reasoning applies a formal computation: uncertainty range = error per unit time * elapsed time. It will not treat projected estimates equivalent fresh observations.
The Structure
The reasoning structure is a gated pipeline where each step must pass a decision gate before the next can execute.
If the current state is estimated without propagating known changes from the last verified position, dead reckoning inference was not applied.
Haki · Reasoning-Multi
Cross-Domain Suppression
In Haki mode, the API retrieves the primary ability first, then fans out to three synergy roles that compound its reasoning.
When retrieved in Haki mode, the primary ability is augmented with failure guards extracted from 3 abilities in different cognitive domains. Each guard blocks a specific reasoning failure the primary alone wouldn't catch. A self-check forces verification before output. The result is cross-domain coverage that no single ability can reach alone.