AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
How to
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2025
Gaglio, G. F.; Vinanzi, S.; Cangelosi, A.; Chella, A.
Intention Reading Architecture for Virtual Agents Proceedings Article
In: O., Palinko; L., Bodenhagen; J.-J., Cabibihan; K., Fischer; S., Šabanović; K., Winkle; L., Behera; S.S., Ge; D., Chrysostomou; W., Jiang; H., He (Ed.): Lect. Notes Comput. Sci., pp. 488–497, Springer Science and Business Media Deutschland GmbH, 2025, ISBN: 03029743 (ISSN); 978-981963521-4 (ISBN).
Abstract | Links | BibTeX | Tags: Chatbots, Cognitive Architecture, Cognitive Architectures, Computer simulation languages, Intelligent virtual agents, Intention Reading, Intention readings, Language Model, Large language model, Metaverse, Metaverses, Physical robots, Video-games, Virtual agent, Virtual assistants, Virtual contexts, Virtual environments, Virtual machine
@inproceedings{gaglio_intention_2025,
title = {Intention Reading Architecture for Virtual Agents},
author = {G. F. Gaglio and S. Vinanzi and A. Cangelosi and A. Chella},
editor = {Palinko O. and Bodenhagen L. and Cabibihan J.-J. and Fischer K. and Šabanović S. and Winkle K. and Behera L. and Ge S.S. and Chrysostomou D. and Jiang W. and He H.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105002042645&doi=10.1007%2f978-981-96-3522-1_41&partnerID=40&md5=70ccc7039785bb4ca4d45752f1d3587f},
doi = {10.1007/978-981-96-3522-1_41},
isbn = {03029743 (ISSN); 978-981963521-4 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Lect. Notes Comput. Sci.},
volume = {15561 LNAI},
pages = {488–497},
publisher = {Springer Science and Business Media Deutschland GmbH},
abstract = {This work presents the development of a virtual agent designed specifically for use in the Metaverse, video games, and other virtual environments, capable of performing intention reading on a human-controlled avatar through a cognitive architecture that endows it with contextual awareness. The paper explores the adaptation of a cognitive architecture, originally developed for physical robots, to a fully virtual context, where it is integrated with a Large Language Model to create highly communicative virtual assistants. Although this work primarily focuses on virtual applications, integrating cognitive architectures with LLMs marks a significant step toward creating collaborative artificial agents capable of providing meaningful support by deeply understanding context and user intentions in digital environments. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.},
keywords = {Chatbots, Cognitive Architecture, Cognitive Architectures, Computer simulation languages, Intelligent virtual agents, Intention Reading, Intention readings, Language Model, Large language model, Metaverse, Metaverses, Physical robots, Video-games, Virtual agent, Virtual assistants, Virtual contexts, Virtual environments, Virtual machine},
pubstate = {published},
tppubtype = {inproceedings}
}