Human Randomness in the Rock-Paper-Scissors Game
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- @Article{komai:2022:AS,
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author = "Takahiro Komai and Hiroaki Kurokawa and Song-Ju Kim",
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title = "Human Randomness in the Rock-Paper-Scissors Game",
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journal = "Applied Sciences",
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year = "2022",
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volume = "12",
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number = "23",
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pages = "Article No. 12192",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2076-3417",
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URL = "https://www.mdpi.com/2076-3417/12/23/12192",
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DOI = "doi:10.3390/app122312192",
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abstract = "In this study, we investigated the human capacity to
generate randomness in decision-making processes using
the rock-paper-scissors (RPS) game. The randomness of
the time series was evaluated using the time-series
data of RPS moves made by 500 subjects who played 50
consecutive RPS games. The indices used for evaluation
were the Lempel–Ziv complexity and a determinism
index obtained from a recurrence plot, and these
indicators represent the complexity and determinism of
the time series, respectively. The acquired human RPS
time-series data were compared to a pseudorandom RPS
sequence generated by the Mersenne Twister and the RPS
time series generated by the RPS game’s strategy
learnt using the human RPS time series acquired via
genetic programming. The results exhibited clear
differences in randomness among the pseudorandom number
series, the human-generated series, and the
AI-generated series.",
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notes = "also known as \cite{app122312192}",
- }
Genetic Programming entries for
Takahiro Komai
Hiroaki Kurokawa
Song-Ju Kim
Citations