Allocating Goods on a Graph to Eliminate Envy

Abstract

We introduce a distributed negotiation framework for multi-agent resource allocation where interactions between agents are limited by a graph defining a negotiation topology. A group of agents may only contract a deal if that group is fully connected according to the negotiation topology. An impor-tant criterion for assessing the quality of an allocation of re-sources, in terms of fairness, is envy-freeness: an agent is said to envy another agent if it would prefer to swap places with that other agent. We analyse under what circumstances a se-quence of deals respecting the negotiation topology may be expected to converge to a state where no agent envies any of the agents it is directly connected to. We also analyse the computational complexity of a related decision problem, namely the problem of checking whether a given negotiation state admits any deal that would both be beneficial to every agent involved and reduce envy in the agent society.

Cite

Text

Chevaleyre et al. "Allocating Goods on a Graph to Eliminate Envy." AAAI Conference on Artificial Intelligence, 2007.

Markdown

[Chevaleyre et al. "Allocating Goods on a Graph to Eliminate Envy." AAAI Conference on Artificial Intelligence, 2007.](https://mlanthology.org/aaai/2007/chevaleyre2007aaai-allocating/)

BibTeX

@inproceedings{chevaleyre2007aaai-allocating,
  title     = {{Allocating Goods on a Graph to Eliminate Envy}},
  author    = {Chevaleyre, Yann and Endriss, Ulrich and Maudet, Nicolas},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2007},
  pages     = {700-705},
  url       = {https://mlanthology.org/aaai/2007/chevaleyre2007aaai-allocating/}
}