Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Satisfying the varied privacy preferences of individuals, while exposing context data to authorized applications and individuals, remains a major challenge for context-aware compu...
Marion Blount, John Davis, Maria Ebling, William F...
Lustre is a formal synchronous declarative language widely used for modeling and specifying safety-critical applications in the elds of avionics, transportation or energy productio...
Virginia Papailiopoulou, Laya Madani, Lydie du Bou...
To test large scale socially embedded systems, this paper proposes a multiagent-based participatory design that consists of two steps; 1) participatory simulation, where scenario-...
Markov Decision Processes (MDPs) have been extensively studied and used in the context of planning and decision-making, and many methods exist to find the optimal policy for probl...