A PSPACE-complete Graph Nim
Kyle Burke, Olivia George

TL;DR
This paper introduces Neighboring Nim, a graph-based variation of Nim, and proves its PSPACE-hardness through reductions from Geography, demonstrating the complexity of certain combinatorial game variants.
Contribution
It constructs PSPACE-complete versions of Nim using graph structures and reductions from Geography, extending the understanding of game complexity.
Findings
Neighboring Nim is PSPACE-hard.
Reductions from Geography establish complexity.
Graph-based Nim variants can be PSPACE-complete.
Abstract
We build off the game, NimG to create a version named Neighboring Nim. By reducing from Geography, we show that this game is PSPACE-hard. The games created by the reduction share strong similarities with Undirected (Vertex) Geography and regular Nim, both of which are in P. We show how to construct PSPACE-complete versions with nim heaps *1 and *2. This application of graphs can be used as a form of game sum with any games, not only Nim.
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Taxonomy
TopicsArtificial Intelligence in Games · Digital Games and Media · Educational Games and Gamification
