Abstract

We introduce new theoretical insights into two-population asymmetric games allowing for an elegant symmetric decomposition into two single population symmetric games. Specifically, we show how an asymmetric bimatrix game (A,B) can be decomposed into its symmetric counterparts by envisioning and investigating the payoff tables (A and B) that constitute the asymmetric game, as two independent, single population, symmetric games. We reveal several surprising formal relationships between an asymmetric two-population game and its symmetric single population counterparts, which facilitate a convenient analysis of the original asymmetric game due to the dimensionality reduction of the decomposition. The main finding reveals that if (x,y) is a Nash equilibrium of an asymmetric game (A,B), this implies that y is a Nash equilibrium of the symmetric counterpart game determined by payoff table A, and x is a Nash equilibrium of the symmetric counterpart game determined by payoff table B. Also the reverse holds and combinations of Nash equilibria of the counterpart games form Nash equilibria of the asymmetric game. We illustrate how these formal relationships aid in identifying and analysing the Nash structure of asymmetric games, by examining the evolutionary dynamics of the simpler counterpart games in several canonical examples.

Details

Title
Symmetric Decomposition of Asymmetric Games
Author
Tuyls, Karl 1 ; Pérolat, Julien 2 ; Lanctot, Marc 2 ; Ostrovski, Georg 2 ; Savani, Rahul 3   VIAFID ORCID Logo  ; Leibo, Joel Z 2 ; Ord, Toby 4   VIAFID ORCID Logo  ; Graepel, Thore 2 ; Legg, Shane 2 

 Google DeepMind, London, UK; Dept. of Computer Science, University of Liverpool, Liverpool, UK 
 Google DeepMind, London, UK 
 Dept. of Computer Science, University of Liverpool, Liverpool, UK 
 Faculty of Philosophy, Oxford University, Oxford, UK 
Pages
1-20
Publication year
2018
Publication date
Jan 2018
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1988510340
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.