Analyzing Games with a Variable Number of Players

Authors

  • Madelyn Gatchel Davidson College

Keywords:

Game Theory, Machine Learning, Multiagent Systems

Abstract

We introduce a novel technique that uses a multi-headed neural network to analyze symmetric games with a variable number of players, where the number of participants falls in a specified range. We hypothesize that the payoffs in a game with x players are similar or related to the same game with x + 1 players, given a large value of x. With this hypothesis, we generalize prior work to analyze games with a large, variable number of players.

Downloads

Published

2021-05-18

How to Cite

Gatchel, M. . (2021). Analyzing Games with a Variable Number of Players. Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 15960-15961. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17976

Issue

Section

AAAI Undergraduate Consortium