Analysis of selected methods of creating artificial intelligence on the example of a popular card game

The aim of the article was to analyze selected methods of creating artificial intelligence in a popular card game. Two experiments were conducted: with a human and with a computer. The following algorithms were analyzed: random, min-max, based on a neural network, statistical and statistical with th...

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Vydáno v:Journal of Computer Sciences Institute Ročník 16; s. 233 - 240
Hlavní autoři: Gałka, Łukasz, Dzieńkowski, Mariusz
Médium: Journal Article
Jazyk:angličtina
Vydáno: Lublin University of Technology 30.09.2020
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ISSN:2544-0764, 2544-0764
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Shrnutí:The aim of the article was to analyze selected methods of creating artificial intelligence in a popular card game. Two experiments were conducted: with a human and with a computer. The following algorithms were analyzed: random, min-max, based on a neural network, statistical and statistical with the use of "cheating" technique. The examined parameters were as follows: efficiency, execution time, number of implementation code lines, implementation time and training duration. The indicator with the greatest impact on the selection of the most optimal method was efficiency. The research has shown no difference in efficiency for the neural network-based algorithm and the statistical algorithm. In other cases, the differences in this feature were significant. The use of the "cheating" technique has increased the efficiency.
ISSN:2544-0764
2544-0764
DOI:10.35784/jcsi.2194