Using Matchboxes to Teach the Basics of Machine Learning: an Analysis of (Possible) Misconceptions
E. Marx, T. Leonhardt, D. Baberowski, und N. Bergner. Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, Volume 170 von Proceedings of Machine Learning Research, Seite 25--29. PMLR, (08--13 Sep 2022)
Zusammenfassung
The idea of chess-playing matchboxes, conceived by Martin Gardner as early as 1962, is becoming more and more relevant in learning materials in the area of AI and Machine Learning. Thus, it can be found in a large number of workshops and papers as an innovative teaching method to convey the basic ideas of reinforcement learning. In this paper the concept and its variations will be presented and the advantages of this analog approach will be shown. At the same time, however, the limitations of the approach are analyzed and the question of alternatives is raised.
%0 Conference Paper
%1 pmlr-v170-marx22a
%A Marx, Erik
%A Leonhardt, Thiemo
%A Baberowski, David
%A Bergner, Nadine
%B Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop
%D 2022
%E Kinnaird, Katherine M.
%E Steinbach, Peter
%E Guhr, Oliver
%I PMLR
%K imported
%P 25--29
%T Using Matchboxes to Teach the Basics of Machine Learning: an Analysis of (Possible) Misconceptions
%U https://proceedings.mlr.press/v170/marx22a.html
%V 170
%X The idea of chess-playing matchboxes, conceived by Martin Gardner as early as 1962, is becoming more and more relevant in learning materials in the area of AI and Machine Learning. Thus, it can be found in a large number of workshops and papers as an innovative teaching method to convey the basic ideas of reinforcement learning. In this paper the concept and its variations will be presented and the advantages of this analog approach will be shown. At the same time, however, the limitations of the approach are analyzed and the question of alternatives is raised.
@inproceedings{pmlr-v170-marx22a,
abstract = {The idea of chess-playing matchboxes, conceived by Martin Gardner as early as 1962, is becoming more and more relevant in learning materials in the area of AI and Machine Learning. Thus, it can be found in a large number of workshops and papers as an innovative teaching method to convey the basic ideas of reinforcement learning. In this paper the concept and its variations will be presented and the advantages of this analog approach will be shown. At the same time, however, the limitations of the approach are analyzed and the question of alternatives is raised.},
added-at = {2024-10-02T10:38:17.000+0200},
author = {Marx, Erik and Leonhardt, Thiemo and Baberowski, David and Bergner, Nadine},
biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/230a47f0509399acca95d3ba1be7aef38/scadsfct},
booktitle = {Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop},
editor = {Kinnaird, Katherine M. and Steinbach, Peter and Guhr, Oliver},
interhash = {5b053988a8c602cde4f549ec5415a942},
intrahash = {30a47f0509399acca95d3ba1be7aef38},
keywords = {imported},
month = {08--13 Sep},
pages = {25--29},
pdf = {https://proceedings.mlr.press/v170/marx22a/marx22a.pdf},
publisher = {PMLR},
series = {Proceedings of Machine Learning Research},
timestamp = {2024-10-02T10:38:17.000+0200},
title = {Using Matchboxes to Teach the Basics of Machine Learning: an Analysis of (Possible) Misconceptions},
url = {https://proceedings.mlr.press/v170/marx22a.html},
volume = 170,
year = 2022
}
