NIM with Cash
William Gasarch, John Purtilo, Douglas Ulrich

TL;DR
This paper extends the classic NIM game by incorporating monetary resources, analyzing how the interplay of stones and dollars affects winning strategies for various finite sets A.
Contribution
It introduces a new variant of NIM with monetary costs and provides general theorems to determine winning conditions for different sets A.
Findings
Derived win conditions for A={1,L} and A={1,L,L+1}
Extended classical NIM analysis to include monetary constraints
Provided a framework for analyzing complex win scenarios in resource-based NIM variants
Abstract
Let A be a finite subset of . Then NIM(A;n) is the following 2-player game: initially there are stones on the board and the players alternate removing stones. The first player who cannot move loses. This game has been well studied. We investigate an extension of the game where Player I starts out with d dollars, Player II starts out with e dollars, and when a player removes a\in A he loses a dollars. The first player who cannot move loses; however, note this can happen for two different reasons: (1) the number of stones is less than min(A), (2) the player has less than dollars. This game leads to more complex win conditions then standard NIM. We prove some general theorems from which we can obtain win conditions for a large variety of finite sets A. We then apply them to the sets A={1,L}, and A={1,L,L+1}.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsArtificial Intelligence in Games
