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» The Causal Graph Revisited for Directed Model Checking
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SAS
2009
Springer
212views Formal Methods» more  SAS 2009»
14 years 5 months ago
The Causal Graph Revisited for Directed Model Checking
Directed model checking is a well-established technique to tackle the state explosion problem when the aim is to find error states in large systems. In this approach, the state spa...
Martin Wehrle, Malte Helmert
IJCAI
2003
13 years 5 months ago
Causes and Explanations Revisited
This paper reconsiders the notions of actual cause and explanation in functional causal models. We demonstrate that isomorphic causal models can generate intuitively different cau...
James D. Park
JMLR
2010
143views more  JMLR 2010»
12 years 11 months ago
Beware of the DAG!
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
A. Philip Dawid
DBSEC
2010
196views Database» more  DBSEC 2010»
13 years 1 months ago
Preserving Integrity and Confidentiality of a Directed Acyclic Graph Model of Provenance
Abstract. This paper describes how to preserve integrity and confidentiality of a directed acyclic graph (DAG) model of provenance database. We show a method to preserve integrity ...
Amril Syalim, Takashi Nishide, Kouichi Sakurai
ACSD
2008
IEEE
102views Hardware» more  ACSD 2008»
13 years 11 months ago
Performing causality analysis by bounded model checking
Synchronous systems can immediately react to the inputs of their environment which may lead to so-called causality cycles between actions and their trigger conditions. Systems wit...
Klaus Schneider, Jens Brandt