Learning agents for iterative voting

We propose an in-depth analysis of those committee selection rules, assessing and comparing them with respect to several desirable properties among which unanimity, fixed

If we use the multiperipheral models to estimate the magnitude of the various elementary diffractive processes, we can then estimate the magnitudes of the terms in the Gribov

In fact the paradigm shift we are seeing in these years is to consider the electricity network like an Internet of Energy, where each and every electrical device and generator will

Our toolkit called BP-EMC² (Business.. Process – Evolutive Management by Collaborative agents in the Cloud), tries to provide a complete platform for BPM partners

The rest of the flights were carried out with the real flight data using the traditional ILC update process and the precision of the tracking could be slightly improved..

Note that if we tried to design a very simple strategical model inspired by Leader Rule for Plurality voting, we could consider the case when every voter votes for either the

We build on this work by developing a pipeline to automatically acquire a corpus of human explanations that can be used to train a rationale generation model to explain the actions

Ce chapitre nous a permis d’étudier le capteur hybride PV/T à eau et à air sous concentration, en déterminant sesperformances thermiques et électriques, comme température des