This paper presents the real-time model checker RAVEN and related theoretical background. RAVEN augments the efficiency of traditional symbolic model checking with possibilities to...
Abstract. We present F(Eml), a language that combines classes, extensible functions, symmetric multiple dispatching, and a practical system for parameterized modules. Parameterized...
Model based learning systems usually face to a problem of forgetting as a result of the incremental learning of new instances. Normally, the systems have to re-learn past instances...
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments. A typical example is a case of RoboCup...
We are designing and developing a mobile clinical decision support system, known as MET (Mobile Emergency Triage), for supporting emergency triage of different types of acute pain...