Ronald Fagin, Ravi Kumar, et al.
SIAM Journal on Discrete Mathematics
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.
Ronald Fagin, Ravi Kumar, et al.
SIAM Journal on Discrete Mathematics
Joseph Y. Halpern
Artificial Intelligence
Fahiem Bacchus, Adam Grove, et al.
Computational Intelligence
Ronald Fagin, Joseph Y. Halpern, et al.
Journal of the ACM