Using Matchboxes to Teach the Basics of Machine Learning: an Analysis of (Possible) Misconceptions
Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, PMLR 170:25-29, 2022.
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.