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The Role of Intrinsic Motivation in Artificial Language Emergence: a Case Study on Colour

Abstract : Human languages have multiple strategies that allow us to discriminate objects in a vast variety of contexts. Colours have been extensively studied from this point of view. In particular, previous research in artificial language evolution has shown how artificial languages may emerge based on specific strategies to distinguish colours. Still, it has not been shown how several strategies of diverse complexity can be autonomously managed by artificial agents. We propose an intrinsic motivation system that allows agents in a population to create a shared artificial language and progressively increase its expressive power. Our results show that with such a system agents successfully regulate their language development, which indicates a relation between population size and consistency in the emergent communicative systems.
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Contributor : Thierry Poibeau Connect in order to contact the contributor
Submitted on : Monday, December 26, 2016 - 9:14:35 AM
Last modification on : Friday, October 15, 2021 - 1:40:08 PM
Long-term archiving on: : Monday, March 20, 2017 - 7:54:29 PM


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  • HAL Id : hal-01422478, version 1



Miquel Cornudella Gaya, Thierry Poibeau, Remi van Trijp. The Role of Intrinsic Motivation in Artificial Language Emergence: a Case Study on Colour. 26th International Conference on Computational Linguistics (COLING 2016), Dec 2016, Osaka, Japan. pp.1646 - 1656. ⟨hal-01422478⟩



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