Proof planning is an automated reasoning technique which improves proof search by raising it to a meta-level. In this paper we apply proof planning to First-Order Linear Temporal L...
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Time plays an important role in our everyday's life. For a lot of observations we make and actions we perform, temporal information is relevant. The importance of time is refl...
Abstract. We present a framework for a declarative approach to spatiotemporal reasoning on geographical data, based on the constraint logical language STACLP, which offers deducti...
We show the expressiveness provided by a Labelled point-based metric model for specifying and reasoning about complex disjunctive temporal constraints. The model allows us to mana...