AI Paper Atlas

Research map / Probabilistic and scientific modeling / Causal discovery

Causal Explanation Under Indeterminism: A Sampling Approach

AAAI 2016 · Probabilistic and scientific modeling › Causal discovery · approach: Causal effect identification · 4 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
add true cause C67 vs spurious C69 as explanation of C78Sampling-based counterfactual explanation · Billiards common causeprobability change: +0.334* vs -0.011Helped
compare direct vs indirect cause in chainSampling-based counterfactual explanation · Billiards causal chainprobability change: +0.527* vs +0.262*Mixed
compare direct vs indirect cause in chainSampling-based counterfactual explanation · Billiards causal chaintiming change: -8.91* vs -7.56*Mixed
preempting unreliable cause C78 with reliable backupSampling-based counterfactual explanation · Billiards backup causeprobability change: -0.147*Hurt
earlier run R as cause of hypoglycemiaSampling-based counterfactual explanation · Glucose-insulin simulationprobability change: +0.642*Helped
lunch L as cause of hypoglycemiaSampling-based counterfactual explanation · Glucose-insulin simulationprobability change: +0.721*Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy