Zobrazeno 1 - 10
of 217
pro vyhledávání: '"Sire, Clément"'
Biohybrid systems in which robotic lures interact with animals have become compelling tools for probing and identifying the mechanisms underlying collective animal behavior. One key challenge lies in the transfer of social interaction models from sim
Externí odkaz:
http://arxiv.org/abs/2308.08978
Autor:
Nabeel, Arshed, Jadhav, Vivek, M, Danny Raj, Sire, Clément, Theraulaz, Guy, Escobedo, Ramón, Iyer, Srikanth K., Guttal, Vishwesha
Publikováno v:
Physical Biology, 20, 056003, 2023
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 to 100 individuals), called the mesoscopic scales, where stochasticit
Externí odkaz:
http://arxiv.org/abs/2304.10071
Autor:
Papaspyros, Vaios, Escobedo, Ramón, Alahi, Alexandre, Theraulaz, Guy, Sire, Clément, Mondada, Francesco
Modern computing has enhanced our understanding of how social interactions shape collective behaviour in animal societies. Although analytical models dominate in studying collective behaviour, this study introduces a deep learning model to assess soc
Externí odkaz:
http://arxiv.org/abs/2302.06839
Autor:
Mitra, Partha P, Sire, Clément
Contemporary Artificial Intelligence (AI) stands on two legs: large training data corpora and many-parameter artificial neural networks (ANNs). The data corpora are needed to represent the complexity and heterogeneity of the world. The role of the ne
Externí odkaz:
http://arxiv.org/abs/2106.03354
Publikováno v:
PLoS Comput Biol 17(11): e1009590 (2021)
Cognitive biases are widespread in humans and animals alike, and can sometimes be reinforced by social interactions. One prime bias in judgment and decision-making is the human tendency to underestimate large quantities. Previous research on social i
Externí odkaz:
http://arxiv.org/abs/2003.06863
Publikováno v:
J. R. Soc. Interface 18: 20210231, 2021
The recent developments of social networks and recommender systems have dramatically increased the amount of social information shared in human communities, challenging the human ability to process it. As a result, sharing aggregated forms of social
Externí odkaz:
http://arxiv.org/abs/2003.06802
Autor:
Jayles, Bertrand, Escobedo, Ramón, Cezera, Stéphane, Blanchet, Adrien, Kameda, Tatsuya, Sire, Clément, Theraulaz, Guy
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 incorrect information on individual and collective decisions. We performe
Externí odkaz:
http://arxiv.org/abs/2003.06160
Autor:
Jayles, Bertrand, Escobedo, Ramón, Pasqua, Roberto, Zanon, Christophe, Blanchet, Adrien, Roy, Matthieu, Tredan, Gilles, Theraulaz, Guy, Sire, Clément
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 certain social contexts have been shown to share some similarities with pha
Externí odkaz:
http://arxiv.org/abs/1911.12483
Akademický článek
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Autor:
Jayles, Bertrand, Kim, Hye-rin, Escobedo, Ramón, Cezera, Stéphane, Blanchet, Adrien, Kameda, Tatsuya, Sire, Clément, Theraulaz, Guy
Publikováno v:
Proceedings of the National Acadamy of Science USA, 114 (47) 12620-12625 (2017)
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, and how it affects their decisions. We report experiments performed in
Externí odkaz:
http://arxiv.org/abs/1711.02585