Fair Allocation of Conflicting Courses under Additive Utilities

Arpita Biswas, Yiduo Ke, Samir Khuller, Quanquan C. Liu

Research output: Contribution to journalConference articlepeer-review

Abstract

We investigate the problem of fair allocation of indivisible items when certain item pairs conflict, where conflicts are represented by an interval graph. In this setting, no two conflicting items may be allocated to the same agent. Our problem has practical applications specifically for course allocation where students are agents and course seats are items; courses may have conflicting schedules. We devise algorithms for finding fair, specifically envy-freeness up to one item (EF1), allocations of courses to students in the most general setting: when students have non-uniform, non-identical, additive utility functions. In this extended abstract, we provide one of the algorithms that finds a EF1 solution under identical utilities, implying that, for any course, all students have the same utility.

Original languageEnglish (US)
Pages (from-to)2162-2164
Number of pages3
JournalProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume2024-May
StatePublished - 2024
Event23rd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2024 - Auckland, New Zealand
Duration: May 6 2024May 10 2024

Keywords

  • course scheduling
  • envy-freeness
  • Resource allocation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Control and Systems Engineering

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