Epistemic Gap in Autonomous Agents
An epistemic gap is an agent execution failure mode in which relevant domain knowledge, tool guidance, or an appropriate method is unavailable to the model at its decision point. In an agent runtime, this operational gap is targeted by state-local entry hooks (in_hook) that reactivate and inject necessary domain context, tool specifications, or background information at the exact execution phase where they become relevant.
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Prep Sessions
Engineering State-Bound Execution Runtimes for Autonomous Agents @ University of Michigan - Ann Arbor
Ch.1 Operational Challenges and Systemic Bottlenecks - Engineering State-Bound Execution Runtimes for Autonomous Agents @ University of Michigan - Ann Arbor
Epistemic, Procedural-Memory, and Compliance Gaps - Engineering State-Bound Execution Runtimes for Autonomous Agents @ University of Michigan - Ann Arbor
Learn After
In an agent runtime, which construct is specifically utilized to target an epistemic gap by reactivating and injecting missing context at the exact execution phase where it is needed?
State-local entry hooks resolve runtime knowledge deficits by injecting all required background information globally at system startup.
Define an epistemic gap in the context of autonomous agent execution.