Temporal Reasoning with Probabilities

Carlo Berzuini, Riccardo Bellazzi, Silvana Quaglini, Max Henrion (Editor), Ross Shachter (Editor)

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    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 languageEnglish
    Title of host publicationProceedings of the Fifth Workshop on Uncertainty in Artificial Intelligence
    Subtitle of host publicationAugust 18th to 20th, 1989, University of Windsor, Windsor, Ontario, Canada
    EditorsMax Henrion, Ross Shachter
    PublisherAmerican Association for Artificial Intelligence
    Pages14-21
    Number of pages8
    ISBN (Print)0-444-88738-5
    Publication statusPublished - 18 Aug 1989
    EventFifth Workshop on Uncertainty in Artificial Intelligence - UAI89 - University of Windsor, Windsor, Ontario, Canada
    Duration: 18 Aug 198920 Aug 1989
    http://books.google.it/books?id=FEKNHwAACAAJ

    Conference

    ConferenceFifth Workshop on Uncertainty in Artificial Intelligence - UAI89
    CityUniversity of Windsor, Windsor, Ontario, Canada
    Period18/08/8920/08/89
    Internet address

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