Abstract
Coalition Structure Generation (CSG), which is a leading research issue in the domain of coalitional games, divides agents into exhaustive and disjoint coalitions to optimize social welfare. This paper studies CSG problems over weighted undirected graphs in which the weight on an edge between any two connecting agents represents how well they work together in a coalition. The weight can have either a positive or a negative value. We examine two types of problems. One is a CSG without any restrictions on the number of coalitions, and another is a CSG with k coalitions where k is determined in advance. We present two methods to solve these problems: ILP formulation and MaxSAT encoding.
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Notes
- 1.
In the search, we only examine components connected by edges with positive weights.
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Acknowledgment
This work was supported by JSPS KAKENHI Grant Numbers JP17H00761, JP17KK0008, JP19H04175, by JST SICORP JPMJSC1607, and by Kayamori Foundation of Informational Science Advancement.
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Watanabe, E., Koshimura, M., Sakurai, Y., Yokoo, M. (2019). Solving Coalition Structure Generation Problems over Weighted Graph. In: Baldoni, M., Dastani, M., Liao, B., Sakurai, Y., Zalila Wenkstern, R. (eds) PRIMA 2019: Principles and Practice of Multi-Agent Systems. PRIMA 2019. Lecture Notes in Computer Science(), vol 11873. Springer, Cham. https://doi.org/10.1007/978-3-030-33792-6_21
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