The socio-communicative complexity hypothesis states that living in groups should increase the need for efficient communication in animals. Thanks to "Rookognise", a multitask neural network designed to automatically recognize which rook is vocalizing when, we plan to test this hypothesis in a comparative way, i.e. in social and non-social corvids, but also in human and non-human primates. Rookognise needs to be adapted to non-bird species and enhanced with visual recognition of individuals and behaviors. This project should help to identify key factors in the evolution of language (sociality, cognition, vocal learning) that are shared by corvids and primates. It will also help to identify key communicative attitudes in children and their role in the establishment of social networks and, more generally, the link between vocal and social integration. Finally, this project also has strong innovative potential for education and animal conservation and welfare.
ACTIVITIES
We plan to hire two post-doctoral researchers and a PhD Student. We plan to develop a research platform to facilitate data sharing of both behavioural data and IA codes. We also plan to implement several actions of formation (online, or with the public) to show how IA can help us better understand the evolution of communication and the diversity of behaviours of other species.
CHAIR PRESENTATION
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Published on August 22, 2025 Updated on August 22, 2025
Core members
Valérie Dufour
Céline Teulière
Cédric Bouquet
Clément Belletier
Pierre Chausse
Associated members
Vittorio Baglione
Catherine Crockford
Maddi Cusimano
Xavier Desquesne
Bruno Emile
Cédric Girard- Buttoz
Audrey Maille
Killian Martin
Nicolas Obin
Olivier Pascalis
Odile Petit
Olivier Pietquin
Claudia Wascher.
Research topics
AI and Life science, Automatic detection, Multimodality, Vocalisation, Behaviour, Corvids, Monkeys
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