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Part 1: Document Description
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Citation |
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Title: |
A framework for the emergence and analysis of language in social learning agents |
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Identification Number: |
doi:10.60507/FK2/Z7NCOP |
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Distributor: |
bonndata |
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Date of Distribution: |
2025-08-20 |
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Version: |
1 |
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Bibliographic Citation: |
Wieczorek, Tobias J.; Tchumatchenko, Tatjana; Wert-Carvajal, Carlos; Eggl, Maximilian, 2025, "A framework for the emergence and analysis of language in social learning agents", https://doi.org/10.60507/FK2/Z7NCOP, bonndata, V1 |
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Citation |
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Title: |
A framework for the emergence and analysis of language in social learning agents |
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Identification Number: |
doi:10.60507/FK2/Z7NCOP |
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Authoring Entity: |
Wieczorek, Tobias J. (University of Bonn) |
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Tchumatchenko, Tatjana (University of Bonn) |
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Wert-Carvajal, Carlos (University of Bonn) |
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Eggl, Maximilian (University of Bonn) |
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Other identifications and acknowledgements: |
Eggl, Maximilian |
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Other identifications and acknowledgements: |
Wert-Carvajal, Carlos |
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Other identifications and acknowledgements: |
Tchumatchenko, Tatjana |
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Other identifications and acknowledgements: |
Wieczorek, Tobias J. |
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Grant Number: |
DFG |
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Distributor: |
bonndata |
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Access Authority: |
Tchumatchenko, Tatjana |
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Depositor: |
Walch, Sabrina |
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Date of Deposit: |
2025-07-30 |
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Holdings Information: |
https://doi.org/10.60507/FK2/Z7NCOP |
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Study Scope |
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Keywords: |
Medicine, Health and Life Sciences |
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Abstract: |
Neural systems have evolved not only to solve environmental challenges through internal representations but also, under social constraints, to communicate these to conspecifics. In this work, we aim to understand the structure of these internal representations and how they may be optimized to transmit pertinent information from one individual to another. Thus, we build on previous teacher-student communication protocols to analyze the formation of individual and shared abstractions and their impact on task performance. We use reinforcement learning in grid-world mazes where a teacher network passes a message to a student to improve task performance. This framework allows us to relate environmental variables with individual and shared representations. We compress high-dimensional task information within a low-dimensional representational space to mimic natural language features. In coherence with previous results, we find that providing teacher information to the student leads to a higher task completion rate and an ability to generalize tasks it has not seen before. Further, optimizing message content to maximize student reward improves information encoding, suggesting that an accurate representation in the space of messages requires bi-directional input. These results highlight the role of language as a common representation among agents and its implications on generalization capabilities. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/licenses/by/4.0">CC BY 4.0</a> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Wieczorek, T.J., Tchumatchenko, T., Wert-Carvajal, C. et al. A framework for the emergence and analysis of language in social learning agents. Nat Commun 15, 7590 (2024). https://doi.org/10.1038/s41467-024-51887-5 |
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Identification Number: |
10.1038/s41467-024-51887-5 |
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Bibliographic Citation: |
Wieczorek, T.J., Tchumatchenko, T., Wert-Carvajal, C. et al. A framework for the emergence and analysis of language in social learning agents. Nat Commun 15, 7590 (2024). https://doi.org/10.1038/s41467-024-51887-5 |
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Label: |
data.zip |
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Notes: |
application/zip |
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Label: |
language_emergence_review.ipynb |
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application/x-ipynb+json |
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Label: |
README.md |
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Notes: |
text/markdown |
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Label: |
requirements.txt |
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Notes: |
text/plain |
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Label: |
TobiasJWieczorek_DATASET_Readme.txt |
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Notes: |
text/plain |