Harsanyi power solution for games with restricted cooperation
Zhengxing Zou and
Qiang Zhang ()
Additional contact information
Qiang Zhang: Beijing Institute of Technology
Journal of Combinatorial Optimization, 2018, vol. 35, issue 1, No 4, 26-47
Abstract:
Abstract This paper discusses the Harsanyi power solution for cooperative games in which cooperation among players is based on an arbitrary collection of feasible coalitions. We define the Harsanyi power solution as a value which distributes the Harsanyi dividends such that the dividend shares of players in each feasible coalition are proportional to the corresponding players’ participation index, (i.e., a power measure for players in the cooperation restrictions). When all coalitions can be formed in a game, the Harsanyi power solution coincides with the Shapley value. We provide two axiomatic characterizations for the Harsanyi power solution: one uses component efficiency and participation fairness, and the other uses efficiency and participation balanced contributions. Meanwhile, we show that the axioms of each axiomatization are logically independent. The study also shows that the Harsanyi power solution satisfies several other properties such as additivity and inessential player out. In addition, the Harsanyi power solution is the unique value that admits the $$\lambda $$ λ -potential.
Keywords: Cooperative games; Restricted cooperation; Harsanyi power solution; Participation index; 91A12; 91A35; 91A46 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10878-017-0152-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jcomop:v:35:y:2018:i:1:d:10.1007_s10878-017-0152-y
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10878
DOI: 10.1007/s10878-017-0152-y
Access Statistics for this article
Journal of Combinatorial Optimization is currently edited by Thai, My T.
More articles in Journal of Combinatorial Optimization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().