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

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Abstract

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.
Original languageEnglish
Title of host publicationThe 23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024
Subtitle of host publicationExtended Abstract
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Number of pages3
Publication statusAccepted/In press - 2024
Event23rd International Conference on Autonomous Agents and Multi-Agent Systems - AAMAS 2024 - New Zealand, Auckland, New Zealand
Duration: 6 May 202410 May 2024
Conference number: 23
https://www.aamas2024-conference.auckland.ac.nz/

Conference

Conference23rd International Conference on Autonomous Agents and Multi-Agent Systems - AAMAS 2024
Abbreviated titleAAMAS 2024
Country/TerritoryNew Zealand
CityAuckland
Period6/05/2410/05/24
Internet address

Bibliographical note

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.

Keywords

  • language emergence
  • multi-agent systems
  • autonomous agents
  • emergent communication
  • self-organisation
  • language evolution

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