This paper presents a novel paradigm for learning languages that consists of mapping strings to an appropriate high-dimensional feature space and learning a separating hyperplane i...
Abstract. We propose an approach to automatic verification of realtime systems against scenario-based requirements. A real-time system is modeled as a network of Timed Automata (TA...
Kim Guldstrand Larsen, Shuhao Li, Brian Nielsen, S...
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
Abstract. This paper explores the use of temporal logics in the context of communication protocols for multiagent systems. We concentrate on frameworks where protocols are used to ...
Abstract—We apply automata theory to specifying behavioral interfaces of objects and show how to check schedulability and compatibility of real time asynchronous objects. The beh...
Mohammad Mahdi Jaghoori, Delphine Longuet, Frank S...