Nim like game and a machine that plays it

dc.contributor.authorEsclafit, Pierre
dc.contributor.authorModeste, Simon
dc.contributor.authorSaby, Nicolas
dc.date.accessioned2024-07-30T13:18:19Z
dc.date.available2024-07-30T13:18:19Z
dc.date.issued2020-11-04
dc.description.abstractThe purpose of this work is to take a didactic look at a learning situation located at the interface between mathematics and computer science. This situation offers a first approach to the concept of artificial intelligence through the study of a reinforcement learning device. The learning situation, inspired by the Computer Science Unplugged approach, is based on a combinatorial game, along with a device that learns how to play this game. We studied the learning potential when the human players face the machine. After an a priori analysis using the Theory of Didactic Situations (TDS), we conducted a pre-experiment in order to strengthen our hypotheses. In this article, we will focus on the analysis of the didactic variables, the values we have chosen for these variables and their effects on students’ strategies. Subject Classification: 97D99, 97K99, 97P80en
dc.formatapplication/pdf
dc.identifier.citationTeaching Mathematics and Computer Science, Vol. 18 No. 4 (2020): Varga 100, Special Issue, Volume 2 , 317-326
dc.identifier.doihttps://doi.org/10.5485/TMCS.2020.0481
dc.identifier.eissn2676-8364
dc.identifier.issn1589-7389
dc.identifier.issue4
dc.identifier.jatitleTeach. Math. Comp. Sci.
dc.identifier.jtitleTeaching Mathematics and Computer Science
dc.identifier.urihttps://hdl.handle.net/2437/378548
dc.identifier.volume18
dc.languageen
dc.relationhttps://ojs.lib.unideb.hu/tmcs/article/view/11012
dc.rights.accessOpen Access
dc.rights.ownerPierre Esclafit, Simon Modeste, Nicolas Saby
dc.subjectMathematics and Computing linksen
dc.subjectLearning Situationen
dc.subjectNim Gameen
dc.subjectTheory of Didactic Situationsen
dc.titleNim like game and a machine that plays iten
dc.typefolyóiratcikkhu
dc.typearticleen
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