mlsanityData to 7 Oct 2026

Automated Semantic Rules Detection (ASRD) for Emergent Communication Interpretation

arXiv 2601.03254 ↗First posted 6 Jan 2026cs.CLcited by 0

Not on the map. Why?

Abstract (arXiv)

The field of emergent communication within multi-agent systems examines how autonomous agents can independently develop communication strategies, without explicit programming, and adapt them to varied environments. However, few studies have focused on the interpretability of emergent languages. The research exposed in this paper proposes an Automated Semantic Rules Detection (ASRD) algorithm, which extracts relevant patterns in messages exchanged by agents trained with two different datasets on the Lewis Game, which is often studied in the context of emergent communication. ASRD helps at the interpretation of the emergent communication by relating the extracted patterns to specific attributes of the input data, thereby considerably simplifying subsequent analysis.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 11 of its 19 references that are in the map. First posted on arXiv 6 Jan 2026.

Builds on

11 of 19 references.

References · 11

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2018Representation Learning with Contrastive Predictive Codingcited by 7,662
  3. 2016Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotationscited by 2,646
  4. 2017Emergence of Grounded Compositional Language in Multi-Agent Populationscited by 257
  5. 2022A Survey of Multi-Agent Deep Reinforcement Learning with Communicationcited by 103
  6. 2018Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Inputcited by 102
  7. 2019Ease-of-Teaching and Language Structure from Emergent Communicationcited by 65
  8. 2018How agents see things: On visual representations in an emergent language gamecited by 45
  9. 2021Quasi-Equivalence Discovery for Zero-Shot Emergent Communicationcited by 19
  10. 2023Learning Multi-Object Positional Relationships via Emergent Communicationcited by 4
  11. 2022Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networkscited by 3

Built on by

Not cited yet.