We investigate opinion dynamics in a fully-connected system, consisting of n agents, where one of the opinions, called correct, represents a piece of information to disseminate. One source agent initially holds the correct opinion and remains with this opinion throughout the execution. The goal of...
04b Atto di convegno in volume
-
-
Opinion diffusion is a crucial phenomenon in social networks, often underlying the way in which a collection of agents develops a consensus on relevant decisions. Voter models are well-known theoretical models to study opinion spreading in social networks and structured populations. Their simplest...
-
We consider the case of a set of energy harvesting edge nodes, equipped with photovoltaic panels that implement some kind of monitoring service. To ensure that the service operates in an optimal way, nodes have sometimes offload some of their data to other nodes. We show that this kind of task...
-
Nous étudions le problème du Canal de Diffusion Fiable Byzantin (où une source doit envoyer le même ensemble de messages, ou discours, à tous les participants) dans les systèmes distribués affectés par des pannes Byzantines mobiles (c'est à dire où tous les processus sont susceptibles d'avoir un...
-
We present Pure-Past Action Masking (PPAM), a lightweight approach to action masking for safe reinforcement learning. In PPAM, actions are disallowed (“masked”) according to specifications expressed in Pure-Past Linear Temporal Logic (PPLTL). PPAM can enforce non-Markovian constraints, i.e.,...
-
Service composition a la Roman model consists of realizing a virtual service by orchestrating suitably a set of already available services. In this paper, we consider a variant where available services are stochastic systems, and the target specification is goal-oriented and specified in Linear...
-
We address the time-optimal, rest-to-rest motion problem under bounded control for a two-mass system interconnected by a visco-elastic joint. A complete geometric solution has recently been found in [1] for the purely elastic case, exploiting symmetries that are lost with the introduction of...
-
We consider an SQP method for solving nonconvex optimization problems whose feasible set is convex and with an objective function that is the sum of a smooth nonconvex term and a nonsmooth, convex one. In the proposed method, at each iteration, a direction is generated by solving a strongly convex...
-
Recent innovations and developments in molecular biology and biotechnology have made it possible to acquire and store large omics datasets. In particular genomics, transcriptomics and the study of their relationship represent the key elements to understand how genotype influences phenotype. In this...
-
We provide a customizable environment based on Deep Reinforcement Learning (DRL) strategies for handling cooperative multi-UAV (Unmanned Aerial Vehicles) scenarios when delays are involved in the decision-making process for tasks such as spotting, tracking, coverage and many others. Users can...