The Winnability of Klondike Solitaire and Many Other Patience Games

June 28, 2019 Β· Declared Dead Β· + Add venue

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Authors Charlie Blake, Ian P. Gent arXiv ID 1906.12314 Category cs.AI: Artificial Intelligence Citations 2 Last Checked 4 months ago
Abstract
Our ignorance of the winnability percentage of the solitaire card game `Klondike' has been described as "one of the embarrassments of applied mathematics". Klondike, the game in the Windows Solitaire program, is just one of many single-player card games, generically called 'patience' or 'solitaire' games, for which players have long wanted to know how likely a particular game is to be winnable. A number of different games have been studied empirically in the academic literature and by non-academic enthusiasts. Here we show that a single general purpose Artificial Intelligence program named `Solvitaire' can be used to determine the winnability percentage of 73 variants of 35 different single-player card games with a 95% confidence interval of +/- 0.1% or better. For example, we report the winnability of Klondike as 81.945%+/- 0.084% (in the `thoughtful' variant where the player knows the rank and suit of all cards), a 30-fold reduction in confidence interval over the best previous result. The vast majority of our results are either entirely new or represent significant improvements on previous knowledge.
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