Titlebook: Algorithmic Game Theory; 14th International S Ioannis Caragiannis,Kristoffer Arnsfelt Hansen Conference proceedings 2021 Springer Nature Sw

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書目名稱Algorithmic Game Theory影響因子(影響力)




書目名稱Algorithmic Game Theory影響因子(影響力)學(xué)科排名




書目名稱Algorithmic Game Theory網(wǎng)絡(luò)公開度




書目名稱Algorithmic Game Theory網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Algorithmic Game Theory被引頻次




書目名稱Algorithmic Game Theory被引頻次學(xué)科排名




書目名稱Algorithmic Game Theory年度引用




書目名稱Algorithmic Game Theory年度引用學(xué)科排名




書目名稱Algorithmic Game Theory讀者反饋




書目名稱Algorithmic Game Theory讀者反饋學(xué)科排名

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https://doi.org/10.1007/978-3-642-47516-0e known from agents’ reports on their connections. In a self-interested setting, agents may strategically hide some connections to make themselves seem to be more important. In this paper, we study the incentive compatible (IC) selection mechanism to prevent such manipulations. Specifically, we mode

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https://doi.org/10.1007/978-3-662-26461-4e unknown from the outset, but they are drawn from a known probability distribution. In the standard prophet setting, a single agent makes selection decisions in an attempt to maximize her expected reward. The novelty of our model is the introduction of a competition setting, where multiple agents c