Abstract
We study the friendship-based online coalition formation problem, in which agents that appear one at a time should be partitioned into coalitions, and an agent’s utility for a coalition is the number of her neighbors (i.e., friends) within the coalition.Unlike prior work, agents’ friendships may be uncertain.We analyze the desirability of the resulting partition in the common term of optimality, aiming to maximize the social welfare.We design an online algorithm termed Maximum Predicted Coalitional Friends (MPCF), which is enhanced with predictions of each agent’s number of friends within any possible coalition.For common classes of random graphs, we prove that MPCF is optimal, and, for certain graphs, provides the same guarantee as the best known competitive algorithm for settings without uncertainty.
| Original language | English |
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| Title of host publication | ECAI 2024 - 27th European Conference on Artificial Intelligence, Including 13th Conference on Prestigious Applications of Intelligent Systems, PAIS 2024, Proceedings |
| Editors | Ulle Endriss, Francisco S. Melo, Kerstin Bach, Alberto Bugarin-Diz, Jose M. Alonso-Moral, Senen Barro, Fredrik Heintz |
| Publisher | IOS Press BV |
| Pages | 3332-3339 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781643685489 |
| DOIs | |
| State | Published - 16 Oct 2024 |
| Event | 27th European Conference on Artificial Intelligence, ECAI 2024 - Santiago de Compostela, Spain Duration: 19 Oct 2024 → 24 Oct 2024 |
Publication series
| Name | Frontiers in Artificial Intelligence and Applications |
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| Volume | 392 |
| ISSN (Print) | 0922-6389 |
| ISSN (Electronic) | 1879-8314 |
Conference
| Conference | 27th European Conference on Artificial Intelligence, ECAI 2024 |
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| Country/Territory | Spain |
| City | Santiago de Compostela |
| Period | 19/10/24 → 24/10/24 |
Bibliographical note
Publisher Copyright:© 2024 The Authors.