Recent contributions to advancing planning from the classical model to more realistic problems include using temporal logic such as LTL to express desired properties of a solution ...
In this paper, we consider quantitative temporal or spatial constraint networks whose constraints evolve over time in an ultimately periodic fashion. These constraint networks are...
To perform automatic, unconscious inference, the human brain must solve the "binding problem" by correctly grouping properties with objects. Temporal binding models like...
We present a new version of PROBDIVINE – a parallel tool for verification of probabilistic systems against properties formulated in linear temporal logic. Unlike the previous r...
Abstract. In this paper we propose a novel technique for constructing timed automata from properties expressed in the logic MTL, under bounded-variability assumptions. We handle fu...