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» Learning Causal Models of Relational Domains
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AAAI
2010
13 years 6 months ago
Learning Causal Models of Relational Domains
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
Marc Maier, Brian Taylor, Huseyin Oktay, David Jen...
JMLR
2011
188views more  JMLR 2011»
13 years 7 days ago
Linking Granger Causality and the Pearl Causal Model with Settable Systems
The causal notions embodied in the concept of Granger causality have been argued to belong to a different category than those of Judea Pearl’s Causal Model, and so far their re...
Halbert White, Karim Chalak, Xun Lu
ECAI
1994
Springer
13 years 9 months ago
Exploiting Causal Domain Knowledge for Learning to Control Dynamic Systems
This paper introduces a simple yete ective method for using causal domain knowledge for learning to control dynamic systems. Elementary qualitative causal dependencies of the domai...
Achim G. Hoffmann
JMLR
2010
128views more  JMLR 2010»
13 years 2 days ago
Learning Causal Structure from Overlapping Variable Sets
We present an algorithm name cSAT+ for learning the causal structure in a domain from datasets measuring different variable sets. The algorithm outputs a graph with edges correspo...
Sofia Triantafilou, Ioannis Tsamardinos, Ioannis G...
AAAI
2004
13 years 6 months ago
Encoding Probabilistic Causal Model in Probabilistic Action Language
Pearl's probabilistic causal model has been used in many domains to reason about causality. Pearl's treatment of actions is very different from the way actions are repre...
Nam Tran, Chitta Baral