ECAI 2023
Efficiently Computing Smallest Agreeable Sets
Abstract
We study the computational complexity of identifying a small agreeable subset of items. A subset of items is agreeable if every agent does not prefer its complement set. We study settings in which agents either can assign arbitrary utilities to the items; can approve or disapprove the items; or can rank the items (in which case we consider Borda utilities). We prove that deciding whether an agreeable set exists is NP-hard for all variants; and we perform a parameterized analysis regarding the following natural parameters: the number of agents, the number of items, and the upper bound on the size of the agreeable set in question.
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Context
- Venue
- European Conference on Artificial Intelligence
- Archive span
- 1982-2025
- Indexed papers
- 5223
- Paper id
- 236220499013888722