Rock Paper Scissors Is a Game of Skill
8 days ago
- #Human Behavior
- #Game Theory
- #Artificial Intelligence
- Rock Paper Scissors (RPS) is analyzed as a game that falls between skill-based and luck-based games.
- Initially perceived as 90% luck and 10% skill, RPS has a symmetric payoff matrix with no pure Nash equilibrium.
- The optimal strategy is a mixed-strategy Nash equilibrium, playing each move 33% of the time at random.
- Humans cannot generate true randomness, leading to predictable patterns that AI can exploit.
- Common human biases in RPS include a tendency to favor rock and predictable responses after wins or losses.
- Advanced AI strategies use sliding sequences (five-grams) to predict and counter human moves over time.
- The RPS oracle improves prediction accuracy by analyzing historical move patterns and adjusting its strategy accordingly.