Complexity of Efficient and Envy-Free Resource Allocation: Few Agents, Resources, or Utility Levels
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 102-107.
Abstract
We study the problem of finding a Pareto-efficient and envy-free allocation of a set of indivisible resources to a set of agents with monotonic preferences, either dichotomous or additive. Motivated by results of Bouveret and Lang [JAIR 2008], we provide a refined computational complexity analysis by studying the influence of three natural parameters: the number n of agents, the number m of resources, and the number z of different numbers occurring in utility-based preferences of the agents. On the negative side, we show that small values for n and z alone do not significantly lower the computational complexity in most cases. On the positive side, devising fixed-parameter algorithms we show that all considered problems are tractable in case of small m. Furthermore, we develop a fixed-parameter algorithm indicating that the problem with additive preferences becomes computationally tractable in case of small n and small z.
@inproceedings{ijcai2016p22,
title = {Complexity of Efficient and Envy-Free Resource Allocation: Few Agents, Resources, or Utility Levels},
author = {Bliem, Bernhard and Bredereck, Robert and Niedermeier, Rolf},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {102--107},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/22},
}
TY - CPAPER TI - Complexity of Efficient and Envy-Free Resource Allocation: Few Agents, Resources, or Utility Levels AU - Bliem, Bernhard AU - Bredereck, Robert AU - Niedermeier, Rolf T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 102 EP - 107 UR - https://ijcai.org/proceedings/2016/22 ER -Copied
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