Titlebook: Algorithmic Game Theory; 15th International S Panagiotis Kanellopoulos,Maria Kyropoulou,Alexandr Conference proceedings 2022 The Editor(s)

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https://doi.org/10.1007/978-3-642-94367-6isfy some contest-specific criterion, and the value of this prize to a winner decreases as the number of winners increases. The players produce outputs for a set of activities, and the winning criteria of the contests are based on these outputs. We consider two variations of the model: (i) players h

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https://doi.org/10.1007/978-3-7091-5520-2es, were introduced about 10 years ago by Azrieli and Shmaya. They showed via the probabilistic method that .-player Lipschitz games with . strategies per player have . .-approximate Nash equilibria, for .. Here we provide the first hardness result for the corresponding computational problem, showin

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Wer arbeitet mit dem Anti-Bias-Ansatz,f the literature. The main computational challenge in this context is the clearing problem, a fixed point search problem that essentially determines insolvent firms and their exposure to systemic risk, technically known as recovery rates. When Credit Default Swaps, a derivative connected to the 2008

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