Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game

机译：预测羽毛杯鸟类游戏中的无法解决的交易

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In this paper, we analyze Birds of a Feather (BoaF), a solitaire game played with 16 cards. While the large majority of deals are solvable, the set of unsolvable deals share certain characteristics that can be determined from the adjacency matrix of the corresponding "compatibility graph". We create a binary decision tree based on just three variables to predict whether a given deal is solvable. Our predictive model, tested on 30,000 random deals, correctly classifies over 99.9% of our data.

机译：在本文中，我们分析了一个用16张牌的纸牌游戏的羽毛（BOAF）。虽然大多数交易是可解决的，但是该组无法解决的交易共享可以从相应的“兼容性图”的邻接矩阵确定的某些特征。我们基于仅仅三个变量创建二进制决策树，以预测给定的交易是可解决的。我们的预测模型在30,000次随机交易中测试，正确分类了99.9％的数据。

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《AAAI Conference on Artificial Intelligence;Innovative Applications of Artificial Intelligence Conference;AAAI Symposium on Educational Advances in Artificial Intelligence》|2019年|9356-10088p|共2页
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Richard Hoshino; Maximilian Kahn;
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Predicting Unsolvable Deals in the Birds of a Feather Solitaire Game

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