Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 48 tok/s
Gemini 2.5 Pro 48 tok/s Pro
GPT-5 Medium 26 tok/s Pro
GPT-5 High 19 tok/s Pro
GPT-4o 107 tok/s Pro
Kimi K2 205 tok/s Pro
GPT OSS 120B 473 tok/s Pro
Claude Sonnet 4 37 tok/s Pro
2000 character limit reached

A four-person chess-like game without Nash equilibria in pure stationary strategies (1411.0349v1)

Published 3 Nov 2014 in math.CO and cs.GT

Abstract: In this short note we give an example of a four-person finite positional game with perfect information that has no positions of chance and no Nash equilibria in pure stationary strategies. The corresponding directed graph has only one directed cycle and only five terminal positions. It remains open: (i) if the number $n$ of the players can be reduced from $4$ to $3$, (ii) if the number $p$ of the terminals can be reduced from $5$ to $4$, and most important, (iii) whether it is possible to get a similar example in which the outcome $c$ corresponding to all (possibly, more than one) directed cycles is worse than every terminal for each player. Yet, it is known that (j) $n$ cannot be reduced to $2$, (jj) $p$ cannot be reduced to $3$, and (jjj) there can be no similar example in which each player makes a decision in a unique position. Keywords: stochastic, positional, chess-like, transition-free games with perfect information and without moves of chance; Nash equilibrium, directed cycles (dicycles), terminal position.

Citations (9)

Summary

We haven't generated a summary for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.