Coalition Structure Generation for Partition Function Games Utilizing a Concise Graphical Representation

被引:3
作者
Zha, Aolong [1 ]
Nomoto, Kazuki [1 ]
Ueda, Suguru [2 ]
Koshimura, Miyuki [1 ]
Sakurai, Yuko [3 ]
Yokoo, Makoto [1 ]
机构
[1] Kyushu Univ, Fukuoka, Japan
[2] Saga Univ, Saga, Japan
[3] Natl Inst Adv Ind Sci & Technol, Tokyo, Japan
来源
PRINCIPLES AND PRACTICE OF MULTI-AGENT SYSTEMS (PRIMA 2017) | 2017年 / 10621卷
关键词
Coalition structure generation; Partition function game; Depth-first branch-and-bound; Maximum satisfiability; MAXSAT;
D O I
10.1007/978-3-319-69131-2_9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Coalition Structure Generation (CSG), a main research issue in the domain of coalition games, involves partitioning agents into exhaustive and disjoint coalitions to optimize the social welfare. The advent of compact representation schemes, such as Partition Decision Trees (PDTs), promotes the efficiency of solving CSG problems. This paper studies the CSG problem for partition function games (PFGs) which are coalitional games with externalities. In PFGs, each value of a coalition depends on how the other agents are partitioned. We apply PDTs to represent PFGs and present two methods to solve CSG problems: a depth-first branch-and-bound algorithm and MaxSAT encoding.
引用
收藏
页码:143 / 159
页数:17
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