Suppose we replace "knowledge" by "belief with probability p" in standard definitions of common knowledge. Very different notions arise depending on the exact definition of common knowledge used in the substitution. This paper demonstrates those differences and identifies which notion is relevant in each of three contexts: equilibrium analysis in incomplete information games, best response dynamics in incomplete information games, and agreeing to disagree/no trade results.
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Martin W. Cripps & Jeffrey C. Ely & George J. Mailath & Larry Samuelson, 2006.
"Common Learning,"
Levine's Bibliography
321307000000000355, UCLA Department of Economics.
[Downloadable!]
Other versions:
Martin W. Cripps & Jeffrey C. Ely & George J. Mailath & Larry Samuelson, 2006.
"Common Learning,"
Cowles Foundation Discussion Papers
1575R, Cowles Foundation, Yale University, revised Jun 2007.
[Downloadable!]
Martin W. Cripps & Jeffrey C. Ely & George J. Mailath & Larry Samuelson, 2007.
"Common Learning,"
PIER Working Paper Archive
07-018, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
[Downloadable!]
Martin W. Cripps & Jeffrey C. Ely & George J. Mailath & Larry Samuelson, 2008.
"Common Learning,"
Econometrica,
Econometric Society, vol. 76(4), pages 909-933, 07.
[Downloadable!] (restricted)