Decentralised Emergence of Robust and Adaptive Linguistic Conventions in Populations of Autonomous Agents Grounded in Continuous Worlds

Onderzoeksoutput: Conference paperResearch

Samenvatting

This paper introduces a methodology for establishing linguistic conventions in populations of autonomous agents in a fully decentralised manner. As agents take part in local communicative interactions, they gradually establish a common conceptual system and vocabulary that enables them to communicate about arbitrary entities in their continuous environment. Apart from introducing the methodology, we also present six experiments that showcase the robustness of the methodology against sensor defects, its ability to handle noisy observations and uncalibrated sensors, and its suitability for continual learning.
Originele taal-2English
TitelThe 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024
SubtitelExtended Abstract
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:
This research received funding from EU's H2020 RIA (grant no. 951846), Research Foundation Flanders (FWO) (grant no. 76929), ARIAC (project no. 2010235) and the Flanders AI Research Program.

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