45 search results - page 1 / 9 » Encoding Probabilistic Causal Model in Probabilistic Action ... |
AAAI
2004
13 years 6 months ago
2004
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...
AIPS
2000
13 years 6 months ago
2000
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
JMLR
2010
12 years 11 months ago
2010
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 ...
IDT
2010
13 years 3 months ago
2010
Humans know how to reason based on cause and effect, but cause and effect is not enough to draw conclusions due to the problem of imperfect information and uncertainty. To resol...
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
Probabilistic logics have attracted a great deal of attention during the past few years. While logical languages have taken a central position in research on knowledge representati...