2 citations · 3 across the 6 of their papers we have counts for
8 papers
Minimalist Leader Election Under Weak Communication
Robin Vacus, Isabella Ziccardi
We propose a protocol to solve Leader Election within weak communication models such as the beeping model or the stone-age model. Unlike most previous work, our algorithm operates…
Fast and Robust Information Spreading in the Noisy PULL Model
Niccolò D'Archivio, Amos Korman, Emanuele Natale +1
Efficient information spreading in stochastic multi agent systems is a core challenge when communication is noisy, bandwidth limited, and agents lack global coordination. Yet biolo…
The Minority Dynamics and the Power of Synchronicity
Luca Becchetti, Andrea Clementi, Francesco Pasquale +3
We study the minority-opinion dynamics over a fully-connected network of nodes with binary opinions. Upon activation, a node receives a sample of opinions from a limited number…
Enhanced Food Availability can Deteriorate Fitness through Excessive Scrounging
Robin Vacus, Amos Korman
In group foraging situations, the conventional expectation is that increased food availability would enhance consumption, especially when animals prioritize maximizing their food i…
On the Role of Memory in Robust Opinion Dynamics
Luca Becchetti, Andrea Clementi, Amos Korman +3
We investigate opinion dynamics in a fully-connected system, consisting of identical and anonymous agents, where one of the opinions (which is called correct) represents a piec…
Early Adapting to Trends: Self-Stabilizing Information Spread using Passive Communication
Amos Korman, Robin Vacus
How to efficiently and reliably spread information in a system is one of the most fundamental problems in distributed computing. Recently, inspired by biological scenarios, several…
On the Role of Hypocrisy in Escaping the Tragedy of the Commons
Amos Korman, Robin Vacus
We study the emergence of cooperation in large spatial public goods games. Without employing severe social-pressure against "defectors", or alternatively, significantly rewarding "…
Distributed Alignment Processes with Samples of Group Average
Amos Korman, Robin Vacus
Reaching agreement despite noise in communication is a fundamental problem in multi-agent systems. Here we study this problem under an idealized model, where it is assumed that age…