Mechanism Design aims to design a game so that a desirable outcome is reached regardless of agents' self-interests. In this paper, we show how this problem can be rephrased as a synthesis problem, where mechanisms are automatically synthesized from a partial or complete specification in a high-level logical language. We show that Quantitative Strategy Logic is a perfect candidate for specifying mechanisms as it can express complex strategic and quantitative properties. We solve automated mechanism design in two cases: when the number of actions is bounded, and when agents play in turn.
CITATION STYLE
Mittelmann, M., Maubert, B., Murano, A., & Perrussel, L. (2022). Automated Synthesis of Mechanisms. In IJCAI International Joint Conference on Artificial Intelligence (pp. 426–432). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2022/61
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