Towards a cognitive architecture to enable natural language interaction in co-constructive task learning
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866915473809997824 |
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| author | Scheibl, Manuel Richter, Birte Müller, Alissa Beetz, Michael Wrede, Britta |
| author_facet | Scheibl, Manuel Richter, Birte Müller, Alissa Beetz, Michael Wrede, Britta |
| contents | This research addresses the question, which characteristics a cognitive architecture must have to leverage the benefits of natural language in Co-Constructive Task Learning (CCTL). To provide context, we first discuss Interactive Task Learning (ITL), the mechanisms of the human memory system, and the significance of natural language and multi-modality. Next, we examine the current state of cognitive architectures, analyzing their capabilities to inform a concept of CCTL grounded in multiple sources. We then integrate insights from various research domains to develop a unified framework. Finally, we conclude by identifying the remaining challenges and requirements necessary to achieve CCTL in Human-Robot Interaction (HRI). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_23760 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards a cognitive architecture to enable natural language interaction in co-constructive task learning Scheibl, Manuel Richter, Birte Müller, Alissa Beetz, Michael Wrede, Britta Robotics Computation and Language Human-Computer Interaction This research addresses the question, which characteristics a cognitive architecture must have to leverage the benefits of natural language in Co-Constructive Task Learning (CCTL). To provide context, we first discuss Interactive Task Learning (ITL), the mechanisms of the human memory system, and the significance of natural language and multi-modality. Next, we examine the current state of cognitive architectures, analyzing their capabilities to inform a concept of CCTL grounded in multiple sources. We then integrate insights from various research domains to develop a unified framework. Finally, we conclude by identifying the remaining challenges and requirements necessary to achieve CCTL in Human-Robot Interaction (HRI). |
| title | Towards a cognitive architecture to enable natural language interaction in co-constructive task learning |
| topic | Robotics Computation and Language Human-Computer Interaction |
| url | https://arxiv.org/abs/2503.23760 |