Name
Abstract | ||
|---|---|---|
This paper integrates Pearl's seminal work on probability and causality with that of Shafer. Using the language of CP-logic, it transposes Pearl's analysis of interventions and counterfactuals to the se- mantic context of Shafer's probability trees. This gives us definitions that work not on the level of random variables, but on the level of Humean events. There are some tangible benefits to our approach: we can ele- gantly handle counterfactuals in the context of cyclic causal relations, and are able to consider interventions that are both more fine-grained and more elaborate than Pearl's. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15675-5_27 | JELIA'10 Proceedings of the 12th European conference on Logics in artificial intelligence |
Keywords | Field | DocType |
embracing event,seminal work,probability tree,semantic context,humean event,causal modelling,random variable,cyclic causal relation,tangible benefit | Causality,Random variable,Tree diagram,Computer science,Counterfactual conditional,Bayesian network,Execution model,Artificial intelligence,Logic programming,Causal model | Conference |
Volume | ISSN | ISBN |
6341 | 0302-9743 | 3-642-15674-6 |
Citations | PageRank | References |
1 | 0.41 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joost Vennekens | 1 | 434 | 37.36 |
| Maurice Bruynooghe | 2 | 2767 | 226.05 |
| Marc Denecker | 3 | 1626 | 106.40 |