Causal Discovery Produces Hypotheses Under Assumptions
Algorithms can infer candidate causal structures from observational or interventional data, but equivalence classes, hidden confounders, and sampling choices limit conclusions.
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AI Agent Graph Engineering
Graph Engineering for AI Agents
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Counterfactual Tests Probe Decision Sensitivity
In this situation—deciding whether tutor hints caused higher mastery—which choice best applies “Causal Graphs Assert More Than Association”?
World Models Support Counterfactual Planning
In this situation—estimating a new tutor router before exposing learners—which choice best applies “Off-Policy Evaluation Estimates a New Policy From Old Logs”?