Solving Woeginger's hiking problem: wonderful partitions in anonymous hedonic games
- A decade ago, Gerhard Woeginger posed an open problem that became well-known as "Woeginger’s Hiking Problem": Consider a group of n people that want to go hiking; everyone expresses preferences over the size of their hiking group in the form of an interval between 1 and n. Is it possible to efficiently assign the n people to a set of hiking subgroups so that every person approves the size of their assigned subgroup? The problem is also known as efficiently deciding if an instance of an anonymous Hedonic Game with interval approval preferences admits a wonderful partition. We resolve the open problem in the affirmative by presenting an O(n⁵) time algorithm for Woeginger’s Hiking Problem. Our solution is based on employing a dynamic programming approach for a specific rectangle stabbing problem from computational geometry. Moreover, we propose natural, more demanding extensions of the problem, e.g., maximizing the number of satisfied participants and variants with single-peakedA decade ago, Gerhard Woeginger posed an open problem that became well-known as "Woeginger’s Hiking Problem": Consider a group of n people that want to go hiking; everyone expresses preferences over the size of their hiking group in the form of an interval between 1 and n. Is it possible to efficiently assign the n people to a set of hiking subgroups so that every person approves the size of their assigned subgroup? The problem is also known as efficiently deciding if an instance of an anonymous Hedonic Game with interval approval preferences admits a wonderful partition. We resolve the open problem in the affirmative by presenting an O(n⁵) time algorithm for Woeginger’s Hiking Problem. Our solution is based on employing a dynamic programming approach for a specific rectangle stabbing problem from computational geometry. Moreover, we propose natural, more demanding extensions of the problem, e.g., maximizing the number of satisfied participants and variants with single-peaked preferences, and show that they are also efficiently solvable. Last but not least, we employ our solution to efficiently compute a partition that maximizes the egalitarian welfare for anonymous single-peaked Hedonic Games.…
Author: | Andrei Constantinescu, Pascal LenznerORCiDGND, Rebecca Reiffenhäuser, Daniel Schmand, Giovanna Varricchio |
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URN: | urn:nbn:de:bvb:384-opus4-1152114 |
Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/115211 |
ISBN: | 978-3-95977-322-5OPAC |
Parent Title (English): | 51st International Colloquium on Automata, Languages, and Programming (ICALP 2024), July 8-12, 2024, Tallinn, Estonia |
Publisher: | Schloss Dagstuhl – Leibniz-Zentrum für Informatik |
Place of publication: | Dagstuhl |
Editor: | Karl Bringmann, Martin Grohe, Gabriele Puppis, Ola Svensson |
Type: | Conference Proceeding |
Language: | English |
Year of first Publication: | 2024 |
Publishing Institution: | Universität Augsburg |
Release Date: | 2024/09/06 |
First Page: | 48:1 |
Last Page: | 48:18 |
Series: | Leibniz International Proceedings in Informatics (LIPIcs) ; 297 |
DOI: | https://doi.org/10.4230/LIPIcs.ICALP.2024.48 |
Institutes: | Fakultät für Angewandte Informatik |
Fakultät für Angewandte Informatik / Institut für Informatik | |
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Theoretische Informatik | |
Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
Licence (German): | CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand) |