Grounding a Social Robot’s Understanding of Words with Associations in a Cognitive Architecture

Thomas Sievers, Nele Russwinkel, Ralf Möller

2025

Abstract

Social robots and humans need a common understanding of the current situation in order to interact and solve tasks together. They should know what the other one is talking about and refer to the same things. Word associations can help to find a common conceptual ground by enabling the robot to learn an association model of a human counterpart with regard to certain words and take them into account for its actions. This grounding of abstract words and ideas helps to constrain possible meanings. A model of a cognitive architecture connected to a social robot stores and processes chunks of memory from a language game between the robot and a human. The robot gives two words and keeps a third in mind. The human is asked to name a word associated with the two given words. In this way, an association model of the conceptual contexts of the human interaction partner is created. The dialog parts of the robot are generated with ChatGPT from OpenAI. An ACT-R model analyzes the data received from the robot, searches for suitable associations already in memory and, if applicable, provides feedback on these associations preferred by the human.

Paper Citation

in Harvard Style

Sievers T., Russwinkel N. and Möller R. (2025). Grounding a Social Robot’s Understanding of Words with Associations in a Cognitive Architecture. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 406-410. DOI: 10.5220/0013144200003890

in Bibtex Style

@conference{icaart25,
author={Thomas Sievers and Nele Russwinkel and Ralf Möller},
title={Grounding a Social Robot’s Understanding of Words with Associations in a Cognitive Architecture},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={406-410},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013144200003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Grounding a Social Robot’s Understanding of Words with Associations in a Cognitive Architecture
SN - 978-989-758-737-5
AU - Sievers T.
AU - Russwinkel N.
AU - Möller R.
PY - 2025
SP - 406
EP - 410
DO - 10.5220/0013144200003890
PB - SciTePress