Adam J. Grove, Joseph Y. Halpern, et al.
SIAM Journal on Computing
We consider the common-knowledge paradox raised by Halpern and Moses: common knowledge is necessary for agreement and coordination, but common knowledge is unattainable in the real world because of temporal imprecision. We discuss two solutions to this paradox: (1) modeling the world with a coarser granularity, and (2) relaxing the requirements for coordination. © 1999 Elsevier Science B.V. All rights reserved.
Adam J. Grove, Joseph Y. Halpern, et al.
SIAM Journal on Computing
Ronald Fagin, Ravi Kumar, et al.
SIAM Journal on Discrete Mathematics
J.Lawrence Carter, Ronald Fagin
Theoretical Computer Science
Ronald Fagin, Ravi Kumar, et al.
SODA 1998