Rock-Paper-Scissors Play: Beyond the Win-Stay/Lose-Change Strategy
نویسندگان
چکیده
This research studied the strategies that players use in sequential adversarial games. We took Rock-Paper-Scissors (RPS) game as an example and ran two experiments. The first experiment involved humans, who played RPS together for 100 times. Importantly, our payoff design allowed us to differentiate between participants used a random strategy from those Nash strategy. found did not play agreement with strategy, but rather, their behavior was closer random. Moreover, analyses of participants’ actions indicated heterogeneous cycle-based behaviors: some were independent past outcomes, followed well-known win-stay/lose-change others exhibited win-change/lose-stay behavior. To understand patterns outcome-dependent actions, we designed probabilistic computer algorithms involving specific change (i.e., downgrade or upgrade according immediate outcome): Win-Downgrade/Lose-Stay (WDLS) Win-Stay/Lose-Upgrade (WSLU) strategies. Experiment 2 these against human player. Our findings show win-stay WDLS algorithm lose-change WSLU algorithm, while they had difficulty using upgrade/downgrade direction, suggesting humans’ limited ability detect counter algorithm. Taken together, experiments showed large diversity strategies, where describe majority players’ dynamic behaviors this situation.
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ژورنال
عنوان ژورنال: Games
سال: 2021
ISSN: ['2073-4336']
DOI: https://doi.org/10.3390/g12030052