Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
435855 | Theoretical Computer Science | 2015 | 9 Pages |
Abstract
We investigate the complexity of finding a winning strategy for the misère version of three games played on graphs: two variants of the game NimG, introduced by Stockmann in 2004 and the game Vertex Geography on both directed and undirected graphs. We show that on general graphs those three games are pspace-Hard or Complete. For one pspace-Hard variant of NimG, we find an algorithm to compute an effective winning strategy in time O(|V(G)|.|E(G)|) when G is a bipartite graph.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Gabriel Renault, Simon Schmidt,