Journal
APPLIED SCIENCES-BASEL
Volume 12, Issue 23, Pages -Publisher
MDPI
DOI: 10.3390/app122312192
Keywords
artificial intelligence; intelligence; human intelligence; game theory; randomness; behavioral economics
Categories
Funding
- SOBIN Institute LLC
- [SP003]
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This study examined the human capacity to generate randomness in decision-making processes using the rock-paper-scissors game. The results showed clear differences in randomness among pseudorandom number series, human-generated series, and AI-generated series, based on the complexity and determinism evaluation of the time series data.
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 learned 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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