Abstract
P-log is a probabilistic logic programming language, which combines both logic programming style knowledge representation and probabilistic reasoning. In earlier papers various advantages of P-log have been discussed. In this paper we further elaborate on the KR prowess of P-log by showing that: (i) it can be used for causal and counterfactual reasoning and (ii) it provides an elaboration tolerant way for non-naive conditioning.
| Original language | English (US) |
|---|---|
| Title of host publication | IJCAI International Joint Conference on Artificial Intelligence |
| Pages | 243-249 |
| Number of pages | 7 |
| State | Published - 2007 |
| Event | 20th International Joint Conference on Artificial Intelligence, IJCAI 2007 - Hyderabad, India Duration: Jan 6 2007 → Jan 12 2007 |
Other
| Other | 20th International Joint Conference on Artificial Intelligence, IJCAI 2007 |
|---|---|
| Country/Territory | India |
| City | Hyderabad |
| Period | 1/6/07 → 1/12/07 |
ASJC Scopus subject areas
- Artificial Intelligence