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Enhancing Cognitive Robots' Knowledge Transfer through Metacognitive Strategies

Authors:
Manuel Caro

Keywords: knowledge transfer, metacognition, cognitive robotics, ontology.

Abstract:
This research paper explores the potential of enhancing cognitive robots' knowledge transfer and performance through the application of metacognitive strategies. An ontology called "Cognitive Robotics with Metacognitive Strategies" (CRwMS) is proposed as a structured and clear framework for modeling and analyzing the impact of these strategies. The ontology accurately represents the concepts and relationships related to cognitive robots, their knowledge and skills, problem situations, solutions, and metacognitive strategies, as confirmed through expert validation and graph analysis. CRwMS Ontology is a useful tool for understanding and improving the performance of cognitive robots through the application of metacognitive strategies. The results of this study suggest that the CRwMS Ontology is a useful tool for understanding and improving the performance of cognitive robots through the application of metacognitive strategies.

Pages: 64 to 71

Copyright: Copyright (c) IARIA, 2023

Publication date: June 26, 2023

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-68558-046-9

Location: Nice, France

Dates: from June 26, 2023 to June 30, 2023