Guessing about Guessing: Practical Strategies for Card Guessing with Feedback
Persi Diaconis, Ron Graham, Sam Spiro
Abstract
In simple card games, cards are dealt one at a time and the player guesses each card sequentially. We study problems where feedback (e.g., correct/incorrect) is given after each guess. For decks with repeated values (as in blackjack where suits do not matter), the optimal strategy differs from the “greedy strategy” (of guessing a most likely card each round). Further, both optimal and greedy strategies are far too complicated for real-time use by human players. Our main results show that simple heuristics perform close to optimal.
Topics & Concepts
HeuristicsSimple (philosophy)Computer scienceGreedy algorithmArtificial intelligenceMathematical economicsMathematical optimizationMathematicsAlgorithmPhilosophyEpistemologyArtificial Intelligence in GamesSports Analytics and PerformanceDecision-Making and Behavioral Economics