Instance-based learning (IBL) algorithms have proved to be successful in many applications. However, as opposed to standard statistical methods, a prediction in IBL is usually give...
In this article we would like to present some recent applications of the B formal method to the development of safety critical system. These SIL3/SIL41 compliant systems have their...
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
The vortex method for the initial-boundary value problems of the Euler equations for incompressible flow is studied. A boundary correction technique is introduced to generate seco...
Petri nets are a formalism for modelling and validating critical systems. Generally, the approach to specification starts from an abstract view of the system under study. Once val...