Formalizing Opponent Modeling with the Rock, Paper, Scissors Game
Erik Brockbank and
Edward Vul
Additional contact information
Erik Brockbank: Department of Psychology, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
Edward Vul: Department of Psychology, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
Games, 2021, vol. 12, issue 3, 1-20
Abstract:
In simple dyadic games such as rock, paper, scissors (RPS), people exhibit peculiar sequential dependencies across repeated interactions with a stable opponent. These regularities seem to arise from a mutually adversarial process of trying to outwit their opponent. What underlies this process, and what are its limits? Here, we offer a novel framework for formally describing and quantifying human adversarial reasoning in the rock, paper, scissors game. We first show that this framework enables a precise characterization of the complexity of patterned behaviors that people exhibit themselves, and appear to exploit in others. This combination allows for a quantitative understanding of human opponent modeling abilities. We apply these tools to an experiment in which people played 300 rounds of RPS in stable dyads. We find that although people exhibit very complex move dependencies, they cannot exploit these dependencies in their opponents, indicating a fundamental limitation in people’s capacity for adversarial reasoning. Taken together, the results presented here show how the rock, paper, scissors game allows for precise formalization of human adaptive reasoning abilities.
Keywords: adversarial reasoning; sequential reasoning; competition; rock-paper-scissors (search for similar items in EconPapers)
JEL-codes: C C7 C70 C71 C72 C73 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jgames:v:12:y:2021:i:3:p:70-:d:636891
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