@inproceedings{8887a4c5959d4c85b26900e293036343,
title = "Modern applications of game-theoretic principles",
abstract = "Game theory is the study of the strategic behavior of rational decision makers who are aware that their decisions affect one another. Its simple but universal principles have found applications in the most diverse disciplines, including economics, social sciences, evolutionary biology, as well as logic, system science and computer science. Despite its long-standing tradition and its many advances, game theory is still a young and developing science. In this paper, we describe some recent and exciting applications in the fields of machine learning and privacy.",
keywords = "Game theory, Machine learning, Privacy, Security",
author = "Catuscia Palamidessi and Marco Romanelli",
note = "Publisher Copyright: {\textcopyright} Catuscia Palamidessi and Marco Romanelli; licensed under Creative Commons License CC-BY 31st International Conference on Concurrency Theory (CONCUR 2020).; 31st International Conference on Concurrency Theory, CONCUR 2020 ; Conference date: 01-09-2020 Through 04-09-2020",
year = "2020",
month = aug,
day = "1",
doi = "10.4230/LIPIcs.CONCUR.2020.4",
language = "English",
series = "Leibniz International Proceedings in Informatics, LIPIcs",
publisher = "Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing",
pages = "41--49",
editor = "Igor Konnov and Laura Kovacs",
booktitle = "31st International Conference on Concurrency Theory, CONCUR 2020",
}