Abstract
In the paper a convex game with discontinuous payoff functions is considered. This paper introduces the concept of quasi-Nash equilibrium, which allows us to analyze games with discontinuous payoff functions by approximating them with continuous and concave functions. We show that if the approximation is close enough, then the quasi-Nash equilibrium is close to the true Nash equilibrium (if it exists).
| Original language | English |
|---|---|
| Title of host publication | Information Processing and Management of Uncertainty in Knowledge-Based Systems - 20th International Conference, IPMU 2024, Proceedings |
| Editors | Marie-Jeanne Lesot, Bernadette Bouchon-Meunier, Susana Vieira, Marek Z. Reformat, João Paulo Carvalho, Fernando Batista, Ronald R. Yager |
| Place of Publication | Cham |
| Publisher | Springer |
| Pages | 195-204 |
| ISBN (Print) | 978-303173996-5 |
| DOIs | |
| Publication status | Published - 2025 |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Volume | 1176 LNNS |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
OECD Field of Science
- 1.1 Mathematics
Keywords
- Convex game
- Discontinuity of payoff function
- Nash equilibrium
- Quasi-equilibrium
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