Emergence of Linguistic Conventions in Multi-Agent Systems Through Situated Communicative Interactions

Onderzoeksoutput: Conference paper

Samenvatting

The field of emergent communication investigates the emergence of shared linguistic conventions among autonomous agents engaged in cooperative tasks that require communication. Conventions that arise through self-organisation are known to be more robust, flexible, and adaptive, and it removes the need for hand-crafting communication protocols. In my PhD research, I investigate how artificial agents can co-construct such conventions of linguistic structures in reference-based tasks. This problem is tackled using the language game experimental paradigm which aims to model the processes underlying the emergence and evolution of human languages. My primary contribution thus far introduces a novel methodology for the language game paradigm in the emergent setting. Using the methodology, agents can establish through self-organisation an emergent language that enables them to refer to arbitrary entities in their environment using single-word utterances. For the first time, the methodology is directly applicable to any dataset that describes entities in terms of continuously-valued features. The next phase in my research is to move from single-word utterances to multi-word utterances through the emergence of grammatical structures.
Originele taal-2English
TitelThe 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)
SubtitelDoctoral Consortium
UitgeverijInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Aantal pagina's3
StatusAccepted/In press - 2024
Evenement23rd International Conference on Autonomous Agents and Multi-Agent Systems - AAMAS 2024 - New Zealand, Auckland, New Zealand
Duur: 6 mei 202410 mei 2024
Congresnummer: 23
https://www.aamas2024-conference.auckland.ac.nz/

Conference

Conference23rd International Conference on Autonomous Agents and Multi-Agent Systems - AAMAS 2024
Verkorte titelAAMAS 2024
Land/RegioNew Zealand
StadAuckland
Periode6/05/2410/05/24
Internet adres

Bibliografische nota

Funding information:
The research reported on in this paper was financed by the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 951846 (MUHAI).

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