We study a class of manipulations in combinatorial auctions where bidders fundamentally misrepresent what goods they are interested in. Prior work has largely assumed that bidders only submit bids on their bundles of interest, which we call simple bidding: strategizing over the bid amounts, but not the bundle identities. However, we show that there exists an entire class of auction instances for which simple bids are never optimal in Bayes-Nash equilibrium, always being strictly dominated by complex bids (where bidders bid on goods they are not interested in). We show this result for the two most widely used auction mechanisms: first price and VCG-nearest. We also explore the structural properties of the winner determination problem that cause this phenomenon, and we use the insights gained to investigate how impactful complex bidding may be. We find that, in the worst case, a bidder's optimal complex bid may require bidding on an exponential number of bundles, even if the bidder is interested only in a single good. Thus, this phenomenon can greatly impact the auction's outcome and should not be ignored by bidders and auction designers alike.
翻译:我们研究的是一组拍卖中的一类操纵,即投标人从根本上歪曲了自己感兴趣的货物。先前的工作主要假设投标人只对其利益包提出投标,我们称之为简单的投标:对投标数额进行战略规划,而不是捆包身份。然而,我们表明,在巴耶斯-纳什均衡上,整个一类拍卖的简单出价从来不是最佳的,而且总是严格由复杂的出价(即投标人对其不感兴趣的货物出价)所主宰。我们为两种最广泛使用的拍卖机制展示了这一结果:第一价和VCG最接近。我们还探讨了造成这一现象的胜出者确定问题的结构属性,我们利用获得的洞见来调查投标可能有多复杂。我们发现,在最坏的情况下,出价人的最佳复杂出价可能需要对数量惊人的捆包投标进行投标,即使出价人只对单一货物感兴趣。因此,这种现象会严重影响拍卖结果,不应被投标人和拍卖设计师所忽视。