Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...
In recent years, separation logic has emerged as a contender for formal reasoning of heap-manipulating imperative programs. Recent works have focused on specialised provers that a...
Wei-Ngan Chin, Cristina David, Huu Hai Nguyen, She...
Scheduling is one of the most successful application areas of constraint programming mainly thanks to special global constraints designed to model resource restrictions. Among thes...
We propose a computational framework for the recognition of suspense and dramatic arc in stories. Suspense is an affective response to narrative structure that accompanies the redu...
This paper presents Networks of Influence Diagrams (NID), a compact, natural and highly expressive language for reasoning about agents' beliefs and decision-making processes....