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        <title>The Role of Intrinsic Motivation in Artificial Language Emergence: a Case Study on Colour</title>
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    <name type="personal">
        <namePart type="given">Miquel</namePart>
        <namePart type="family">Cornudella</namePart>
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    <name type="personal">
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    <name type="personal">
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            <title>Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers</title>
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        <name type="personal">
            <namePart type="given">Yuji</namePart>
            <namePart type="family">Matsumoto</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <name type="personal">
            <namePart type="given">Rashmi</namePart>
            <namePart type="family">Prasad</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T The Role of Intrinsic Motivation in Artificial Language Emergence: a Case Study on Colour
%A Cornudella, Miquel
%A Poibeau, Thierry
%A van Trijp, Remi
%Y Matsumoto, Yuji
%Y Prasad, Rashmi
%S Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
%D 2016
%8 December
%I The COLING 2016 Organizing Committee
%C Osaka, Japan
%F cornudella-etal-2016-role
%X 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.
%U https://aclanthology.org/C16-1155
%P 1646-1656

Markdown (Informal)

[The Role of Intrinsic Motivation in Artificial Language Emergence: a Case Study on Colour](https://aclanthology.org/C16-1155) (Cornudella et al., COLING 2016)

• The Role of Intrinsic Motivation in Artificial Language Emergence: a Case Study on Colour (Cornudella et al., COLING 2016)

ACL

• Miquel Cornudella, Thierry Poibeau, and Remi van Trijp. 2016. The Role of Intrinsic Motivation in Artificial Language Emergence: a Case Study on Colour. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 1646–1656, Osaka, Japan. The COLING 2016 Organizing Committee.