The Computational Difficulty of Bribery in Qualitative Coalitional Games

Andrew Dowell, Michael Wooldridge and Peter McBurney
Additional contact information
Andrew Dowell: University of Liverpool
Michael Wooldridge: University of Liverpool
Peter McBurney: University of Liverpool

No 2007.100, Working Papers from Fondazione Eni Enrico Mattei

Abstract: Qualitative coalitional games (QCG) are representations of coalitional games in which self interested agents, each with their own individual goals, group together in order to achieve a set of goals which satisfy all the agents within that group. In such a representation, it is the strategy of the agents to find the best coalition to join. Previous work into QCGs has investigated the computational complexity of determining which is the best coalition to join. We plan to expand on this work by investigating the computational complexity of computing agent power in QCGs as well as by showing that insincere strategies, particularly bribery, are possible when the envy-freeness assumption is removed but that it is computationally difficult to identify the best agents to bribe.

Keywords: Bribery; Coalition Formation; Computational Complexity (search for similar items in EconPapers)
JEL-codes: C63 C78 (search for similar items in EconPapers)
Date: 2007-11
New Economics Papers: this item is included in nep-cmp and nep-gth
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://feem-media.s3.eu-central-1.amazonaws.com/w ... oads/NDL2007-100.pdf (application/pdf)

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:fem:femwpa:2007.100

Access Statistics for this paper

More papers in Working Papers from Fondazione Eni Enrico Mattei Contact information at EDIRC.
Bibliographic data for series maintained by Alberto Prina Cerai ( this e-mail address is bad, please contact ).