Elliot Linzer, M. Vetterli
Computing
This paper initiates a study of connections between local and global properties of graphical games. Specifically, we introduce a concept of local price of anarchy that quantifies how well subsets of agents respond to their environments. We then show several methods of bounding the global price of anarchy of a game in terms of the local price of anarchy. All our bounds are essentially tight. © 2010 Elsevier B.V. All rights reserved.
Elliot Linzer, M. Vetterli
Computing
Elena Cabrio, Philipp Cimiano, et al.
CLEF 2013
David A. Selby
IBM J. Res. Dev
David S. Kung
DAC 1998