Multi-Type Resource Allocation with Partial Preferences


  • Haibin Wang PKU
  • Sujoy Sikdar WU
  • Xiaoxi Guo PKU
  • Lirong Xia RPI
  • Yongzhi Cao PKU
  • Hanpin Wang PKU



We propose multi-type probabilistic serial (MPS) and multi-type random priority (MRP) as extensions of the well-known PS and RP mechanisms to the multi-type resource allocation problems (MTRAs) with partial preferences. In our setting, there are multiple types of divisible items, and a group of agents who have partial order preferences over bundles consisting of one item of each type. We show that for the unrestricted domain of partial order preferences, no mechanism satisfies both sd-efficiency and sd-envy-freeness. Notwithstanding this impossibility result, our main message is positive: When agents' preferences are represented by acyclic CP-nets, MPS satisfies sd-efficiency, sd-envy-freeness, ordinal fairness, and upper invariance, while MRP satisfies ex-post-efficiency, sd-strategyproofness, and upper invariance, recovering the properties of PS and RP. Besides, we propose a hybrid mechanism, multi-type general dictatorship (MGD), combining the ideas of MPS and MRP, which satisfies sd-efficiency, equal treatment of equals and decomposability under the unrestricted domain of partial order preferences.




How to Cite

Wang, H., Sikdar, S., Guo, X., Xia, L., Cao, Y., & Wang, H. (2020). Multi-Type Resource Allocation with Partial Preferences. Proceedings of the AAAI Conference on Artificial Intelligence, 34(02), 2260-2267.



AAAI Technical Track: Game Theory and Economic Paradigms