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  • 标题:Modern Applications of Game-Theoretic Principles (Invited Paper)
  • 本地全文:下载
  • 作者:Catuscia Palamidessi ; Marco Romanelli
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2020
  • 卷号:171
  • 页码:4:1-4:9
  • DOI:10.4230/LIPIcs.CONCUR.2020.4
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要: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.
  • 关键词:Game theory; machine learning; privacy; security
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