Paper
7 December 2023 Finding EFS1 allocations for indivisible resources among two agents
Xiaoyun Pang, Wei Huang, Liang Yuan
Author Affiliations +
Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 1294145 (2023) https://doi.org/10.1117/12.3011545
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China
Abstract
We study the problem of fairly allocating a set of indivisible goods between two agents with additive valuations. Fair distribution has become an emerging research topic in computer science and artificial intelligence, and envy-free is the most widely studied concept of fairness. Envy-free allocation always exists when goods are divisible, but not always for indivisible goods, which motivates us to study envy-free relaxation. In this paper, we introduce a novel solution concept called EFS1, in which envy between two agents can be eliminated by swapping a good in the bundle of the two agents. Furthermore, we propose an efficient algorithm capable of finding such allocations in polynomial time, and we demonstrate the algorithm's execution through an example involving a dummy good. Our research offers promising solutions for addressing envy in allocation scenarios with the introduction of the EFS1 concept and an efficient algorithm.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaoyun Pang, Wei Huang, and Liang Yuan "Finding EFS1 allocations for indivisible resources among two agents", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 1294145 (7 December 2023); https://doi.org/10.1117/12.3011545
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KEYWORDS
Algorithm development

Computer science

Artificial intelligence

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