Abstract
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 represented explicitly in action languages. In this paper we show how to encode Pearl's probabilistic causal model in the action language PAL thus relating this two distinct approaches to reasoning about actions.
| Original language | English (US) |
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| Title of host publication | Proceedings of the National Conference on Artificial Intelligence |
| Pages | 305-310 |
| Number of pages | 6 |
| State | Published - 2004 |
| Event | Proceedings - Nineteenth National Conference on Artificial Intelligence (AAAI-2004): Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2004) - San Jose, CA, United States Duration: Jul 25 2004 → Jul 29 2004 |
Other
| Other | Proceedings - Nineteenth National Conference on Artificial Intelligence (AAAI-2004): Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2004) |
|---|---|
| Country/Territory | United States |
| City | San Jose, CA |
| Period | 7/25/04 → 7/29/04 |
ASJC Scopus subject areas
- Software