Pure Nash Equilibria in Online Fair Division
Pure Nash Equilibria in Online Fair Division
Martin Aleksandrov, Toby Walsh
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence
Main track. Pages 42-48.
https://doi.org/10.24963/ijcai.2017/7
We consider a fair division setting in which items arrive one by one and are allocated to agents via two existing mechanisms: LIKE and BALANCED LIKE. The LIKE mechanism is strategy-proof whereas the BALANCED LIKE mechanism is not. Whilst LIKE is strategy-proof, we show that it is not group strategy-proof. Indeed, our first main result is that no online mechanism is group strategy-proof. We then focus on pure Nash equilibria of these two mechanisms. Our second main result is that computing a pure Nash equilibrium is tractable for LIKE and intractable for BALANCED LIKE. Our third main result is that there could be multiple such profiles and counting them is also intractable even when we restrict our attention to equilibria with a specific property (e.g. envy-freeness, Pareto efficiency).
Keywords:
Agent-based and Multi-agent Systems: Agent Theories and Models
Agent-based and Multi-agent Systems: Social Choice Theory