129 citations · 147 across the 5 of their papers we have counts for
6 papers
Flocking phase transition and threat responses in bio-inspired autonomous drone swarms
Matthieu Verdoucq, Dari Trendafilov, Clément Sire +3
Collective motion inspired by animal groups offers powerful design principles for autonomous aerial swarms. We present a bio-inspired 3D flocking algorithm in which each drone inte…
Data-driven discovery of stochastic dynamical equations of collective motion
Arshed Nabeel, Vivek Jadhav, Danny Raj M +5
Coarse-grained descriptions of collective motion of flocking systems are often derived for the macroscopic or the thermodynamic limit. However, many real flocks are small sized (10…
Predicting the long-term collective behaviour of fish pairs with deep learning
Vaios Papaspyros, Ramón Escobedo, Alexandre Alahi +3
Modern computing has enhanced our understanding of how social interactions shape collective behaviour in animal societies. Although analytical models dominate in studying collectiv…
The impact of incorrect social information on collective wisdom in human groups
Bertrand Jayles, Ramón Escobedo, Stéphane Cezera +4
A major problem that resulted from the massive use of social media networks is the diffusion of incorrect information. However, very few studies have investigated the impact of inc…
Collective Information Processing in Human Phase Separation
Bertrand Jayles, Ramón Escobedo, Roberto Pasqua +6
Social media filters combined with recommender systems can lead to the emergence of filter bubbles and polarized groups. In addition, segregation processes of human groups in certa…
How social information can improve estimation accuracy in human groups
Bertrand Jayles, Hye-rin Kim, Ramón Escobedo +5
In our digital and connected societies, the development of social networks, online shopping, and reputation systems raises the question of how individuals use social information, a…