Knowledge Representations in Technical Systems -- A Taxonomy
January 14, 2020 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Kristina Scharei, Florian Heidecker, Maarten Bieshaar
arXiv ID
2001.04835
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CV,
cs.LG,
cs.RO
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
Abstract
The recent usage of technical systems in human-centric environments leads to the question, how to teach technical systems, e.g., robots, to understand, learn, and perform tasks desired by the human. Therefore, an accurate representation of knowledge is essential for the system to work as expected. This article mainly gives insight into different knowledge representation techniques and their categorization into various problem domains in artificial intelligence. Additionally, applications of presented knowledge representations are introduced in everyday robotics tasks. By means of the provided taxonomy, the search for a proper knowledge representation technique regarding a specific problem should be facilitated.
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