Recent work in iterative voting has defined the additive dynamic price of anarchy (ADPoA) as the difference in social welfare between the truthful and worst-case equilibrium profiles resulting from repeated strategic manipulations. While iterative plurality has been shown to only return alternatives with at most one less initial votes than the truthful winner, it is less understood how agents' welfare changes in equilibrium. To this end, we differentiate agents' utility from their manipulation mechanism and determine iterative plurality's ADPoA in the worst- and average-cases. We first prove that the worst-case ADPoA is linear in the number of agents. To overcome this negative result, we study the average-case ADPoA and prove that equilibrium winners have a constant order welfare advantage over the truthful winner in expectation. Our positive results illustrate the prospect for social welfare to increase due to strategic manipulation.
翻译:最近进行的迭代投票工作将无政府状态的累加动态价格定义为由反复的战略操纵所导致的真实和最坏情况平衡概况之间的社会福利差异。虽然迭代多元化被证明只回报替代方案,最初的票数最多比真实赢家少一票,但人们不太了解代理人在平衡方面的福利变化。为此,我们区分代理人的用途与其操纵机制,并在最坏和平均的情况下确定迭代多元的ADPA。我们首先证明最坏的ADPA是代理人人数的线性。为了克服这一负面结果,我们研究了普通的ADPA, 并证明平衡赢家对真实赢家的预期有固定的顺序福利优势。我们的积极结果显示了由于战略操纵而增加社会福利的前景。