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Dataset in support of the thesis 'Temporal dynamics in emergent communication'

Dataset in support of the thesis 'Temporal dynamics in emergent communication'
Dataset in support of the thesis 'Temporal dynamics in emergent communication'
Olaf Lipinski PhD Thesis Dataset/Code This dataset contains the code bases for every chapter of the thesis, including instructions on how to run them. The code bases present are: Code for the Temporal Progression Games - accompanying our paper "Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication". This code allows for analysis of spatial relationships in emergent communication. Code for the Temporal Referential Games - accompanying our paper "It’s About Time: Temporal References in Emergent Communication". This code provides a new architecture and dataset for Emergent Communication research. We introduce a variant of the well-known referential games, where we include a temporal aspect to the communication. This is done through skewing the target distribution to include target repetitions at random intervals. Through this, we aim to study how and when temporal references can emerge between agents. Code for the Emergent Communication in Werewolf - accompanying our paper "Emergent Password Signalling in the Game of Werewolf". This code analyses the impact of communication time and voting plurality in Emergent Communication in the game of Werewolf. Code for emlangkit - A toolkit that aims to collect all metrics currently used in emergent communication research into one place. The usage should be convenient and the inputs should be standardised, to ease adoption and spread of these metrics. Related publications: 1. Olaf Lipinski, Adam J. Sobey, Federico Cerutti, and Timothy J. Norman. Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication. In Neural Information Processing Systems (NeurIPS), December 2024 2. Olaf Lipinski, Adam J. Sobey, Federico Cerutti, and Timothy J. Norman. It’s About Time: Temporal References in Emergent Communication. In arXiv:2310.06555 (Under review), October 2023 3. Olaf Lipinski, Adam J. Sobey, Federico Cerutti, and Timothy J. Norman. Emergent Password Signalling in the Game of Werewolf. In Emergent Communication Workshop at ICLR 2022, April 2022
Emergent Communication, Machine Learning, Artificial Intelligence, Multiagent Systems, Emergent Langauge
University of Southampton
Lipinski, Olaf Leszek
88709b3f-c356-45c7-8520-cb49d7b07960
Norman, Tim
663e522f-807c-4569-9201-dc141c8eb50d
Sobey, Adam
e850606f-aa79-4c99-8682-2cfffda3cd28
Cerutti, Federico
fec75499-632a-460f-987a-1a09420d8cb1
Lipinski, Olaf Leszek
88709b3f-c356-45c7-8520-cb49d7b07960
Norman, Tim
663e522f-807c-4569-9201-dc141c8eb50d
Sobey, Adam
e850606f-aa79-4c99-8682-2cfffda3cd28
Cerutti, Federico
fec75499-632a-460f-987a-1a09420d8cb1

Lipinski, Olaf Leszek (2025) Dataset in support of the thesis 'Temporal dynamics in emergent communication'. University of Southampton doi:10.5258/SOTON/D3888 [Dataset]

Record type: Dataset

Abstract

Olaf Lipinski PhD Thesis Dataset/Code This dataset contains the code bases for every chapter of the thesis, including instructions on how to run them. The code bases present are: Code for the Temporal Progression Games - accompanying our paper "Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication". This code allows for analysis of spatial relationships in emergent communication. Code for the Temporal Referential Games - accompanying our paper "It’s About Time: Temporal References in Emergent Communication". This code provides a new architecture and dataset for Emergent Communication research. We introduce a variant of the well-known referential games, where we include a temporal aspect to the communication. This is done through skewing the target distribution to include target repetitions at random intervals. Through this, we aim to study how and when temporal references can emerge between agents. Code for the Emergent Communication in Werewolf - accompanying our paper "Emergent Password Signalling in the Game of Werewolf". This code analyses the impact of communication time and voting plurality in Emergent Communication in the game of Werewolf. Code for emlangkit - A toolkit that aims to collect all metrics currently used in emergent communication research into one place. The usage should be convenient and the inputs should be standardised, to ease adoption and spread of these metrics. Related publications: 1. Olaf Lipinski, Adam J. Sobey, Federico Cerutti, and Timothy J. Norman. Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication. In Neural Information Processing Systems (NeurIPS), December 2024 2. Olaf Lipinski, Adam J. Sobey, Federico Cerutti, and Timothy J. Norman. It’s About Time: Temporal References in Emergent Communication. In arXiv:2310.06555 (Under review), October 2023 3. Olaf Lipinski, Adam J. Sobey, Federico Cerutti, and Timothy J. Norman. Emergent Password Signalling in the Game of Werewolf. In Emergent Communication Workshop at ICLR 2022, April 2022

Archive
emlangkit-main.zip - Software
Available under License MIT.
Download (24kB)
Archive
TRG-master.zip - Software
Available under License MIT.
Download (101kB)
Archive
TPG-master.zip - Software
Available under License MIT.
Download (84kB)
Archive
rl_werewolf-multi-round.zip - Software
Available under License Creative Commons GNU GPL (Software).
Download (5MB)
Text
README.txt - Text
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More information

Published date: February 2025
Keywords: Emergent Communication, Machine Learning, Artificial Intelligence, Multiagent Systems, Emergent Langauge

Identifiers

Local EPrints ID: 498367
URI: http://eprints.soton.ac.uk/id/eprint/498367
PURE UUID: 844b7beb-c928-4394-83f2-156b3e975b2e
ORCID for Olaf Leszek Lipinski: ORCID iD orcid.org/0000-0002-2023-7617
ORCID for Tim Norman: ORCID iD orcid.org/0000-0002-6387-4034
ORCID for Adam Sobey: ORCID iD orcid.org/0000-0001-6880-8338

Catalogue record

Date deposited: 17 Feb 2025 17:42
Last modified: 19 Feb 2025 03:01

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Contributors

Creator: Olaf Leszek Lipinski ORCID iD
Research team head: Tim Norman ORCID iD
Research team head: Adam Sobey ORCID iD
Research team head: Federico Cerutti

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