Abstract
We explore representations of temporal knowledge based upon the formalism of Causal Probabilistic Networks (CPNs). Two different continuous-time representations are proposed. In the first, the CPN includes variables representing event-occurrence times, possibly on different time scales, and variables representing the state of the system at these times. In the second, the CPN describes the influences between random variables with values in ( ) representing dates, i.e. time-points associated with the occurrence of relevant events.
| Original language | English |
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| Title of host publication | Proceedings of the Fifth Workshop on Uncertainty in Artificial Intelligence |
| Subtitle of host publication | August 18th to 20th, 1989, University of Windsor, Windsor, Ontario, Canada |
| Editors | Max Henrion, Ross Shachter |
| Publisher | American Association for Artificial Intelligence |
| Pages | 14-21 |
| Number of pages | 8 |
| ISBN (Print) | 0-444-88738-5 |
| Publication status | Published - 18 Aug 1989 |
| Event | Fifth Workshop on Uncertainty in Artificial Intelligence - UAI89 - University of Windsor, Windsor, Ontario, Canada Duration: 18 Aug 1989 → 20 Aug 1989 http://books.google.it/books?id=FEKNHwAACAAJ |
Conference
| Conference | Fifth Workshop on Uncertainty in Artificial Intelligence - UAI89 |
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| City | University of Windsor, Windsor, Ontario, Canada |
| Period | 18/08/89 → 20/08/89 |
| Internet address |