A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching
نویسندگان
چکیده
We consider the One-Sided Matching problem, where n agents have preferences over items, and these are induced by underlying cardinal valuation functions. The goal is to match every agent a single item so as maximize social welfare. Most of related literature, however, assumes that values not priori known, only access ordinal items provided. Consequently, this incomplete information leads loss efficiency, which measured notion distortion. In paper, we further assume can answer small number queries, allowing us partial their values. study interplay between elicited (measured queries per agent) distortion for Matching, well wide range well-studied problems. Qualitatively, our results show with limited it possible obtain significant improvements classic setting, given.
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2022
ISSN: ['1076-9757', '1943-5037']
DOI: https://doi.org/10.1613/jair.1.12690