Date of Original Version
Abstract or Description
Mechanism design is the study of preference aggregation protocols that work well in the face of self-interested agents. We present the ﬁrst general-purpose techniques for automatically designing multistage mechanisms. These can reduce elicitation burden by only querying agents for information that is relevant given their answers to previous queries. We ﬁrst show how to turn a given(e.g., automatically designed using constrained optimization techniques) single-stage mechanism into the most efﬁcient corresponding multistage mechanism given a speciﬁed elicitation tree. We then present greedy and dynamic programming (DP) algorithms that determine the elicitation tree (optimal in the DP case). Next, we show how the query savings inherent in the multistage model can be used to design the underlying single-stage mechanism to maximally take advantage of this approach. Finally, we present negative results on the design of multistage mechanisms that do not correspond to dominant-strategy single-stage mechanisms: an optimal multistage mechanism in general has to randomize over queries to hide information from the agents.
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)..