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» The Structure of First-Order Causality
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NIPS
2000
13 years 9 months ago
Structure Learning in Human Causal Induction
We use graphical models to explore the question of how people learn simple causal relationships from data. The two leading psychological theories can both be seen as estimating th...
Joshua B. Tenenbaum, Thomas L. Griffiths
LOGCOM
2007
126views more  LOGCOM 2007»
13 years 7 months ago
Causality and Counterfactuals in the Situation Calculus
Structural causal models offer a popular framework for exploring causal concepts. However, due to their limited expressiveness, structural models have difficulties coping with su...
Mark Hopkins, Judea Pearl
AIPS
2008
13 years 10 months ago
Causal Graphs and Structurally Restricted Planning
The causal graph is a directed graph that describes the variable dependencies present in a planning instance. A number of papers have studied the causal graph in both practical an...
Hubie Chen, Omer Giménez
ACL
2008
13 years 9 months ago
Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations
Finding temporal and causal relations is crucial to understanding the semantic structure of a text. Since existing corpora provide no parallel temporal and causal annotations, we ...
Steven Bethard, James H. Martin
CORR
2008
Springer
108views Education» more  CORR 2008»
13 years 7 months ago
Defaults and Normality in Causal Structures
A serious defect with the Halpern-Pearl (HP) definition of causality is repaired by combining a theory of causality with a theory of defaults. In addition, it is shown that (despi...
Joseph Y. Halpern