Coalitional Permutation Manipulations in the Gale-Shapley Algorithm

In this paper, we consider permutation manipulations by any subset of women in the Gale-Shapley algorithm. This paper is motivated by the college admissions process in China. Our results also answer an open problem on what can be achieved by permutation manipulations. We present an efficient algorithm to find a strategy profile such that the induced matching is stable and Pareto-optimal while the strategy profile itself is inconspicuous. Surprisingly, we show that such a strategy profile actually forms a Nash equilibrium of the manipulation game. In the end, we show that it is NP-complete to find a manipulation that is strictly better for all members of the coalition. This result demonstrates a sharp contrast between weakly better-off outcomes and strictly better-off outcomes.

Authors

• Yuan Deng
• Weiran Shen Gaoling School of Artificial Intelligence, Renmin University of China
• Pingzhong Tang Institute for Interdisciplinary Information Sciences, Tsinghua University

Keywords

• Coalition Manipulation
• Permutation Manipulation
• Gale-Shapley
• Algorithm