Selfish Knapsack

Authors

  • Itai Feigenbaum Lehman College and the Graduate Center, City University of New York
  • Matthew Johnson Lehman College and the Graduate Center, City University of New York

DOI:

https://doi.org/10.1609/aaai.v31i1.10579

Keywords:

Social Choice / Voting, Game Theory, Equilibrium

Abstract

We consider a strategic variant of the knapsack problem: the items are owned by agents, and agents can misrepresent their sets of items---either by hiding items (understating), or by reporting fake ones (overstating). Each agent's utility equals the total value of her items included in the knapsack. We wish to maximize social welfare, and attempt to design mechanisms that lead to small worst-case approximation ratios at equilibrium. We provide a randomized mechanism with attractive strategic properties: it has a price of anarchy of 2 for Bayes-Nash and coarse correlated equilibria. For overstating-only agents, it becomes strategyproof, and has a matching lower bound. For the case of two understating-only agents, we provide a specialized randomized strategyproof 1.522-approximate mechanism, and a lower bound of 1.09. When all agents but one are honest, we provide a deterministic strategyproof 1.618-approximate mechanism with a matching lower bound. The latter two mechanisms are also useful in problems beyond the one in consideration.

Downloads

Published

2017-02-10

How to Cite

Feigenbaum, I., & Johnson, M. (2017). Selfish Knapsack. Proceedings of the AAAI Conference on Artificial Intelligence, 31(1). https://doi.org/10.1609/aaai.v31i1.10579

Issue

Section

AAAI Technical Track: Game Theory and Economic Paradigms