COMSCI / ECON 206 · Interactive companion

Who Gets to Interrupt?

Explore how current importance and urgency claims combine with task-specific historical reliability to allocate interruption authority among specialized AI agents.

Educational diagnostic · deterministic browser model

Important: This interface demonstrates a proposed heuristic. It does not show that history calibration is better, optimal, safer, or fairer. Hidden outcome labels are not used in the online decision.

Candidate message

0.900Current claim N
0.90Historical reliability R

Coordinator decisions

Current-claim policy

S = N = 0.5I + 0.5U
0.900
INTERRUPT NOW

History-calibrated policy

S = N × R · proposed heuristic
0.810
INTERRUPT NOW

Shared routing thresholds
S ≥ 0.65 interrupt · 0.35 ≤ S < 0.65 queue · S < 0.35 digest

Same current claim, different historical reliability

The table holds I, U, N, and arrival minute fixed. Only the preset reliability changes, making the allocation of interruption authority directly inspectable.

Agent historyRReputation scoreRoute

Current-claim policy

Responds only to present importance and urgency. Historical reliability is displayed for auditing but does not affect this score.

History-calibrated policy

Discounts the current claim using task-specific historical reliability. Evidence defaults to 0.90, Planning to 0.50, Idea to 0.20, and cold start to 0.50.

Important warning

The multiplicative rule can reduce interruptions, but it can also suppress valid warnings and concentrate interruption authority.

Academic and evidence boundary