Games over Probability Distributions Revisited: New Equilibrium Models and Refinements

This article is an overview of recent progress on a theory of games, whose payoffs are probability distributions rather than real numbers, and which have their equilibria defined and computed over a (suitably restricted yet dense) set of distributions. While the classical method of defining game mod...

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Main Authors: Stefan Rass, Sandra König, Stefan Schauer
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Games
Subjects:
Online Access:https://www.mdpi.com/2073-4336/13/6/80
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author Stefan Rass
Sandra König
Stefan Schauer
author_facet Stefan Rass
Sandra König
Stefan Schauer
author_sort Stefan Rass
collection DOAJ
description This article is an overview of recent progress on a theory of games, whose payoffs are probability distributions rather than real numbers, and which have their equilibria defined and computed over a (suitably restricted yet dense) set of distributions. While the classical method of defining game models with real-valued utility functions has proven strikingly successful in many domains, some use cases from the security area revealed shortcomings of the classical real-valued game models. These issues motivated the use of probability distributions as a more complex object to express revenues. The resulting class of games displays a variety of phenomena not encountered in classical games, such as games that have continuous payoff functions but still no equilibrium, or games that are zero-sum but for which fictitious play does not converge. We discuss suitable restrictions of how such games should be defined to allow the definition of equilibria, and show the notion of a lexicographic Nash equilibrium, as a proposed solution concept in this generalized class of games.
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spelling doaj.art-5fa34a6298fe4483a545c110fd7e0f8a2023-11-24T14:59:59ZengMDPI AGGames2073-43362022-12-011368010.3390/g13060080Games over Probability Distributions Revisited: New Equilibrium Models and RefinementsStefan Rass0Sandra König1Stefan Schauer2LIT Secure and Correct Systems Lab, Johannes Kepler University, 4040 Linz, AustriaAustrian Institute of Technology, Center for Digital Safety & Security, Giefinggasse 4, 1210 Vienna, AustriaAustrian Institute of Technology, Center for Digital Safety & Security, Giefinggasse 4, 1210 Vienna, AustriaThis article is an overview of recent progress on a theory of games, whose payoffs are probability distributions rather than real numbers, and which have their equilibria defined and computed over a (suitably restricted yet dense) set of distributions. While the classical method of defining game models with real-valued utility functions has proven strikingly successful in many domains, some use cases from the security area revealed shortcomings of the classical real-valued game models. These issues motivated the use of probability distributions as a more complex object to express revenues. The resulting class of games displays a variety of phenomena not encountered in classical games, such as games that have continuous payoff functions but still no equilibrium, or games that are zero-sum but for which fictitious play does not converge. We discuss suitable restrictions of how such games should be defined to allow the definition of equilibria, and show the notion of a lexicographic Nash equilibrium, as a proposed solution concept in this generalized class of games.https://www.mdpi.com/2073-4336/13/6/80game theorysecurity strategygeneralized gameloss distributionsdecision makingNash equilibrium
spellingShingle Stefan Rass
Sandra König
Stefan Schauer
Games over Probability Distributions Revisited: New Equilibrium Models and Refinements
Games
game theory
security strategy
generalized game
loss distributions
decision making
Nash equilibrium
title Games over Probability Distributions Revisited: New Equilibrium Models and Refinements
title_full Games over Probability Distributions Revisited: New Equilibrium Models and Refinements
title_fullStr Games over Probability Distributions Revisited: New Equilibrium Models and Refinements
title_full_unstemmed Games over Probability Distributions Revisited: New Equilibrium Models and Refinements
title_short Games over Probability Distributions Revisited: New Equilibrium Models and Refinements
title_sort games over probability distributions revisited new equilibrium models and refinements
topic game theory
security strategy
generalized game
loss distributions
decision making
Nash equilibrium
url https://www.mdpi.com/2073-4336/13/6/80
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AT stefanschauer gamesoverprobabilitydistributionsrevisitednewequilibriummodelsandrefinements