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Towards an ontological core for cognitively justified robots

Conference Paper
Publication Date:
2022
abstract:
Robots built to interact with humans in everyday life need to organize, manage and elaborate information in ways that are not only reliable but also aligned with humans' understanding of the environment. The paper argues that cognitively motivated ontologies contribute to the development of techniques and to the organization of knowledge bases that take us closer to the construction of robot architectures suitable for smooth interactions with humans.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Ontology; Cognitive robotics; DOLCE; Threshold operators
List of contributors:
Masolo, Claudio; Borgo, Stefano; Ferrario, Roberta
Authors of the University:
BORGO STEFANO
FERRARIO ROBERTA
MASOLO CLAUDIO
Handle:
https://iris.cnr.it/handle/20.500.14243/464166
Book title:
AIRO 2021 Artificial Intelligence and Robotics 2021 Proceedings of the 8th Italian Workshop on Artificial Intelligence and Robotics co-located with the the 20th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2021)
Published in:
CEUR WORKSHOP PROCEEDINGS
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http://www.scopus.com/record/display.url?eid=2-s2.0-85134355785&origin=inward
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