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Graph Sharing Games: Complexity and Connectivity

机译:图共享游戏:复杂性和连通性

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摘要

We study the following combinatorial game played by two players, Alice and Bob. Given a connected graph G with nonnegative weights assigned to its vertices, the players alternately take one vertex of G in each turn. The first turn is Alice's. The vertices are to be taken according to one (or both) of the following two rules: (T) the subgraph of G induced by the taken vertices is connected during the whole game, (R) the subgraph of G induced by the remaining vertices is connected during the whole game. We show that under all the three combinations of rules (T) and (R), for every ε > 0 and for every k > 1 there is a k-connected graph G for which Bob has a strategy to obtain (1 — ε) of the total weight of the vertices. This contrasts with the game played on a cycle, where Alice is known to have a strategy to obtain 4/9 of the total weight. We show that the problem of deciding whether Alice has a winning strategy (i.e., a strategy to obtain more than half of the total weight) is PSPACE-complete if condition (R) or both conditions (T) and (R) are required. We also consider a variation of the game where the first player who violates condition (T) or (R) loses the game. We show that deciding who has the winning strategy is PSPACE-complete.
机译:我们研究以下由两个玩家Alice和Bob玩的组合游戏。给定一个连接图G,并为其顶点分配非负权重,则玩家每回合交替选择G的一个顶点。第一回合是爱丽丝的。顶点应根据以下两个规则之一(或两者)获取:(T)在整个游戏过程中,由获取的顶点诱导的G的子图是相连的;(R)由其余顶点诱导的G的子图。在整个游戏中都处于连接状态。我们显示,在规则(T)和(R)的所有三种组合下,对于每个ε> 0和每个k> 1,存在k个连通图G,鲍勃有针对其获得策略(1-ε)顶点的总重量。这与一个循环的游戏形成对比,在循环中,已知爱丽丝具有获得总重量的4/9的策略。我们表明,如果条件(R)或条件(T)和(R)都需要,则决定Alice是否具有获胜策略(即获得总重量一半以上的策略)的问题是PSPACE完整的。我们还考虑了游戏的变体,其中第一个违反条件(T)或(R)的玩家输了游戏。我们表明,决定谁拥有获胜策略是PSPACE-complete。

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  • 来源
  • 会议地点 Prague(CZ);Prague(CZ);Prague(CZ)
  • 作者单位

    Department of Applied Mathematics,Charles University, Faculty of Mathematics and Physics,Malostranske nam. 25, 118 00 Praha 1, Czech Republic;

    Department of Applied Mathematics and Institute for Theoretical Computer Science,Charles University, Faculty of Mathematics and Physics,Malostranske nam. 25, 118 00 Praha 1, Czech Republic;

    Department of Applied Mathematics and Institute for Theoretical Computer Science,Charles University, Faculty of Mathematics and Physics,Malostranske nam. 25, 118 00 Praha 1, Czech Republic,Bolyai Institute, University of Szeged,Aradi vertamik tere 1, 6720 Szeged, Hungary;

    Department of Applied Mathematics,Charles University, Faculty of Mathematics and Physics,Malostranske nam. 25, 118 00 Praha 1, Czech Republic;

    Department of Applied Mathematics and Institute for Theoretical Computer Science,Charles University, Faculty of Mathematics and Physics,Malostranske nam. 25, 118 00 Praha 1, Czech Republic;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算技术、计算机技术;
  • 关键词

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