Titlebook: Algorithmic Game Theory; 17th International S Guido Sch?fer,Carmine Ventre Conference proceedings 2024 The Editor(s) (if applicable) and Th

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Case history: Taint investigation,g with the classic work of Shapley and Shubik [.] on the assignment game, the cores of several natural games have been characterized using total unimodularity. The purpose of our paper is two-fold: .Our game has only one agent, whose strategy set is all possible ways of distributing her money among

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Putting sensory analysis into practice,tes in our game can represent positional advantages in physical conflict such as high ground or camouflage, or product characteristics that lend an advantage over competing sellers in a duopoly. We study the equilibria of the game as a function of the topological and geometric properties of the unde

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Case History: Mapping of Coffee Products,n that players can randomize arbitrarily is non-trivial, as true randomness might be scarce or costly and humans are known to have difficulty generating truly random sequences. In a repeated game, the assumption that players are unconstrained in their capability to randomize their strategies is part

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Algorithmic Game Theory978-3-031-71033-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Sweden: Neuroleptic Relapse Preventionimal percentile mechanism for a given agent’s distribution through a system of . equations. Finally, we estimate the optimality loss incurred when the optimal percentile mechanism is derived using an approximation of the agents’ distribution rather than the actual distribution.

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Sweden: Neuroleptic Relapse Prevention’s payment formula for general discrete single-parameter auction settings. Additionally, we prove that total unimodularity of the feasibility space is a sufficient condition to guarantee the optimality of auctions with integral allocation rules. Finally, in the full version of our paper, we demonstr

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Yu Huang,Min Xiong,Hongqiang Hu agent for an item is equal to the distance of the corresponding points. We show that a (relatively) small number of samples is enough to approximate the expected social welfare of RSD in the value setting and its expected social cost in the metric cost setting despite the #P-hardness of the corresp

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