Residential College | false |
Status | 已發表Published |
Multiagent MST Cover: Pleasing All Optimally via a Simple Voting Rule | |
Li, Bo1; Wu, Xiaowei2; Xu, Chenyang3,4; Zhang, Ruilong5 | |
2023-06-27 | |
Conference Name | 37th AAAI Conference on Artificial Intelligence, AAAI 2023 |
Source Publication | Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023 |
Volume | 37 |
Pages | 5730-5738 |
Conference Date | 7 February 2023through 14 February 2023 |
Conference Place | Washington |
Publisher | AAAI Press |
Abstract | Given a connected graph on whose edges we can build roads to connect the nodes, a number of agents hold possibly different perspectives on which edges should be selected by assigning different edge weights. Our task is to build a minimum number of roads so that every agent has a spanning tree in the built subgraph whose weight is the same as a minimum spanning tree in the original graph. We first show that this problem is NP-hard and does not admit better than ((1 - o(1)) ln k)approximation polynomial-time algorithms unless P = NP, where k is the number of agents. We then give a simple voting algorithm with an optimal approximation ratio. Moreover, our algorithm only needs to access the agents' rankings on the edges. Finally, we extend our results to submodular objective functions and Matroid rank constraints. |
URL | View the original |
Language | 英語English |
Scopus ID | 2-s2.0-85167869632 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
Affiliation | 1.Department of Computing, The Hong Kong Polytechnic University, Hong Kong 2.IOTSC, University of Macau, Macao 3.Software Engineering Institute, East China Normal University, China 4.College of Computer Science, Zhejiang University, China 5.Department of Computer Science, City University of Hong Kong, Hong Kong |
Recommended Citation GB/T 7714 | Li, Bo,Wu, Xiaowei,Xu, Chenyang,et al. Multiagent MST Cover: Pleasing All Optimally via a Simple Voting Rule[C]:AAAI Press, 2023, 5730-5738. |
APA | Li, Bo., Wu, Xiaowei., Xu, Chenyang., & Zhang, Ruilong (2023). Multiagent MST Cover: Pleasing All Optimally via a Simple Voting Rule. Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37, 5730-5738. |
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