Génération automatique de configuration à partir de modèles abstraits et d’observations

During my second year internship at CERN, I was brought to work on a part of a framework based on artificial intelligence and self-learning. It aims to look after and diagnose systems and software based on Linux of the LHCb's computer equipment. I had to realize a part of this framework to complete models which are used in self-learning. Starting from an incomplete structure, a list of clues of research and instructions on mandatories information, I managed to make a research of files and information and to fill the structure. It had been realized modularly to make future improvement easy; in fact, it is possible to happen because the framework is not finished and modifications of content or form could be done.