- author = "Takahiro Komai and Hiroaki Kurokawa and Song-Ju Kim",
- title = "Human Randomness in the Rock-Paper-Scissors Game",
- journal = "Applied Sciences",
- year = "2022",
- volume = "12",
- number = "23",
- pages = "Article No. 12192",
- month = "1 " # dec,
- keywords = "genetic algorithms, genetic programming, artificial intelligence, intelligence, human intelligence, game theory, randomness, behavioral economics",
- ISSN = "2076-3417",
-
URL = "
https://www.mdpi.com/2076-3417/12/23/12192",
-
DOI = "
doi:10.3390/app122312192",
- size = "17 pages",
- abstract = "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 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.",
-
notes = "also known as \cite{app122312192}
School of Engineering, Tokyo University of Technology, 1404-1 Katakura, Hachioji 192-0982, Tokyo, Japan",
