Knowledge Representations in Technical Systems -- A Taxonomy
Artificial Intelligence
2020-01-16 v2 Computer Vision and Pattern Recognition
Machine Learning
Robotics
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.
Cite
@article{arxiv.2001.04835,
title = {Knowledge Representations in Technical Systems -- A Taxonomy},
author = {Kristina Scharei and Florian Heidecker and Maarten Bieshaar},
journal= {arXiv preprint arXiv:2001.04835},
year = {2020}
}
Comments
21 pages, 7 figures