Optimal bid sequences for multiple-object auctions with unequal budgets

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Abstract

In a multiple-object auction, every bidder tries to win as many objects as possible with a bidding algorithm. This paper studies position-randomized auctions, which form a special class of multiple- object auctions where a bidding algorithm consists of an initial bid se- quence and an algorithm for randomly permuting the sequence. We are especially concerned with situations where some bidders know the bid- ding algorithms of others. For the case of only two bidders, we give an optimal bidding algorithm for the disadvantaged bidder. Our result gene- ralizes previous work by allowing the bidders to have unequal budgets. One might naturally anticipate that the optimal expected numbers of objects won by the bidders would be proportional to their budgets. Sur- prisingly, this is not true. Our new algorithm runs in optimal O(n) time in a straightforward manner. The case with more than two bidders is open.

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Chen, Y., Kao, M. Y., & Lu, H. I. (2000). Optimal bid sequences for multiple-object auctions with unequal budgets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1969, pp. 84–95). Springer Verlag. https://doi.org/10.1007/3-540-40996-3_8

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