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Repeated rock, paper, scissors play reveals limits in adaptive sequential behavior.

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People adapt to opponents in games by focusing on simple move patterns, but struggle with complex strategies. This study reveals limitations in human adaptive decision-making in adversarial settings.

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Adaptive reasoningAdversarial reasoningOpponent modelingRock–paper–scissors

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Area of Science:

  • Cognitive Science
  • Game Theory
  • Behavioral Economics

Background:

  • Rational models predict random play in mixed strategy equilibrium (MSE) games.
  • Humans often deviate from random play, attempting to outwit opponents in repeated adversarial interactions.
  • Understanding the adaptive reasoning behind these deviations is crucial.

Purpose of the Study:

  • To investigate human adaptive decision-making in adversarial settings.
  • To identify the complexity bounds of opponent behavior detectable and modifiable by humans.
  • To examine how people adapt their strategies in repeated rounds of Rock, Paper, Scissors.

Main Methods:

  • Experiment 1: Participants played against bots with stable move patterns to assess detection and adaptation limits.
  • Experiment 2: Bots exploited human move patterns to assess the limits of revising one's own behavior.
  • Analysis focused on transition patterns between consecutive moves.

Main Results:

  • Humans effectively detect and exploit simple sequential move patterns in opponents.
  • Humans strategically modify their own simple sequential move patterns in response to opponents.
  • Adaptive reasoning demonstrated significant limitations when faced with more complex patterns.

Conclusions:

  • Human adaptive decision-making in adversarial games is robust but limited in scope.
  • People exhibit flexible attention to simple transition patterns but struggle with sophisticated strategies.
  • Findings provide a precise account of the boundaries of human strategic adaptation.