Selfishness Level of Strategic Games
Krzysztof R. Apt, Guido Schaefer

TL;DR
This paper introduces the concept of selfishness level to measure the gap between social welfare in Nash equilibria and social optima, providing insights into game characteristics affecting cooperation.
Contribution
It defines the selfishness level, analyzes it across various well-known games, and derives explicit bounds, offering a new quantitative tool for understanding strategic game dynamics.
Findings
Selfishness level is finite for finite ordinal potential games.
Explicit bounds are derived for cost sharing and congestion games.
Selfishness level varies across different game types, being infinite for some, like Cournot and Bertrand.
Abstract
We introduce a new measure of the discrepancy in strategic games between the social welfare in a Nash equilibrium and in a social optimum, that we call selfishness level. It is the smallest fraction of the social welfare that needs to be offered to each player to achieve that a social optimum is realized in a pure Nash equilibrium. The selfishness level is unrelated to the price of stability and the price of anarchy and is invariant under positive linear transformations of the payoff functions. Also, it naturally applies to other solution concepts and other forms of games. We study the selfishness level of several well-known strategic games. This allows us to quantify the implicit tension within a game between players' individual interests and the impact of their decisions on the society as a whole. Our analyses reveal that the selfishness level often provides a deeper understanding…
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Taxonomy
TopicsEconomic theories and models · Game Theory and Applications
