Epistemic Gap in Autonomous Agent Execution
An epistemic gap is an execution failure condition in an autonomous agent where relevant domain knowledge, tool guidance, or an appropriate method is unavailable at the critical decision point. Unlike procedural failures where the agent possesses but fails to execute a procedure, an epistemic gap reflects a lack of necessary contextual or task information. In stateful agent runtimes, this gap is targeted at the harness layer by state-local entry hooks (such as in_hook routines) that reactivate relevant domain context, documentation, or tool guidance precisely at the phase where it becomes actionable.
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Prep Sessions
Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Ch.1 Foundations and Operational Challenges - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Operational Gaps in Long-Horizon Agent Execution - Long-Horizon Agent Reliability: Stateful Scaffolding and Runtime Verification @ University of Michigan - Ann Arbor
Learn After
How does an epistemic gap fundamentally differ from a procedural failure in autonomous agent execution?
In stateful agent runtimes, state-local entry hooks target epistemic gaps by reactivating relevant domain context or tool guidance precisely at the phase where it becomes actionable.
An epistemic gap is an execution failure condition where what three types of information or guidance are unavailable to the agent at a critical decision point?
Mapping Operational Gaps to Runtime Control Points