The SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place both on site and virtually at the ICDL 2022 (International Conference on Developmental Learning).
* Call for abstracts :
- Deadline: July 18th
- Abstracts call: from 1/2 page to 2 pages (onsite and virtual participation are possible)
- Workshop dates: September 12, 2022
- Venue onsite: Queen Mary University of London, UK.
- Venue online: via Zoom and Discord group.
Accepted abstract will be asked to make a short video or poster for the workshop.
* Workshop Short Description
On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through an interdisciplinary approach involving researchers from (but not limited to):
- Sensori-motor learning,
- Symbol grounding and symbol emergence,
- Emergent communication in multi-agent systems,
- Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...),
- Compositional representations for communication and action sequence,
- Hierarchical representations of temporal information,
- Language processing and language acquisition in brains and machines,
- Models of animal communication,
- Understanding composition and temporal processing in neural network models, and
- Enaction, active perception, perception-action loop.
* More info
- organizers: Xavier Hinaut, Clément Moulin-Frier, Silvia Pagliarini, Joni Zhong, Michael Spranger, Tadahiro Taniguchi, Anne Warlaumont.
- invited speakers (coming soon)
Xavier Hinaut
Inria Research Scientist