Path cooperative games
Qizhi Fang (),
Bo Li (),
Xiaohan Shan () and
Xiaoming Sun ()
Additional contact information
Qizhi Fang: Ocean University of China
Bo Li: Stony Brook University
Xiaohan Shan: University of Chinese Academy of Sciences
Xiaoming Sun: University of Chinese Academy of Sciences
Journal of Combinatorial Optimization, 2018, vol. 36, issue 1, No 17, 229 pages
Abstract:
Abstract Cooperative games provide an appropriate framework for fair and stable profit distribution in multiagent systems. In this paper, we study the algorithmic issues on path cooperative games that arise from the situations where some commodity flows through a network. In these games, a coalition of edges or vertices is successful if they establish a path from the source to the sink in the network, and lose otherwise. Based on dual theory of linear programming and the relationship with flow games, we provide the characterizations on the core, CS-core, least-core and nucleolus of path cooperative games, which implies all of these solution concepts are polynomial-time solvable for path cooperative games.
Keywords: Path cooperative games; Core; CS-core; Least-core; Nucleolus (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s10878-018-0296-4
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