Reasoning about change requires predicting how long a … In this paper, we describe a theory
of causal reasoning under … probabilistic assessments of the sort licensed by our theory. …

… We now turn to various ways in which deterministic models for temporal reasoning can
be given a probabilistic semantics which allows reasoning about incomplete information, …

… To make probabilistic temporal reasoning tractable, we must impose practical restrictions
on the general case introduced in Section 2. In this section, we discuss three types of …

… We first briefly discuss temporal reasoning and Bayesian networks. From this foundation,
the theoretical structure of our model is developed. A linear constraint system for performing …

… Spatial-temporal reasoning is a challenging task in Artificial … reasoning based on
spatial-temporal knowledge in mind, and … Recent works have focused on an abstract reasoning …

… temporal properties as before and ufier. This paper will take a closer look at temporal reasoning
in … Others have also incorporated temporal reasoning into medical programs to a varying …

… This work examines important issues in probabilistic temporal representation and reasoning
using Bayesian networks (also known as belief networks). The representation proposed …

This paper presents a probabilistic model for reasoning about the state of a system as it
changes over time, both due to exogenous and endogenous influences. Our target domain is a …

… This section shows the use of TNBN as a model to solve a temporal reasoning task applied
to … We consider that TNBN can be used for temporal reasoning tasks under uncertainty that …

… temporal constraints, and temporal reasoning operating on them. In Section 3, we introduce
our representation of probabilistic quantitative temporal … our temporal reasoning approach. …