Emergent Communication in Continuous Worlds: Self-Organisation of Conceptually Grounded Vocabularies at Scale

Understand

This paper introduces a general methodology through which a population of autonomous agents can converge on a linguistic convention that enables them to refer to arbitrary entities in their environment.

• The linguistic convention emerges in a decentralised manner through local communicative interactions between pairs of agents drawn from the population.
• The emergent convention consists of associations between symbolic labels (word forms) and subsymbolic concept representations (word meanings) that are grounded in a continuous feature space.
• We confirm the generality and scalability of the method through its evaluation on a wide and diverse selection of 37 publicly available datasets.