CAnDOIT: Causal Discovery with Observational and Interventional Data from Time Series

The study of cause and effect is of the utmost importance in many branches of science, but also for many practical applications of intelligent systems. In particular, identifying causal relationships in situations that include hidden factors is a major challenge for methods that rely solely on obser...

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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Luca Castri, Sariah Mghames, Marc Hanheide, Nicola Bellotto
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Wiley 2024-12-01
Цуврал:	Advanced Intelligent Systems
Нөхцлүүд:	causal robotics observations and interventions‐based causal discoveries time series
Онлайн хандалт:	https://doi.org/10.1002/aisy.202400181
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