Abstract
Two people, 1 and 2, are said to have common knowledge of an event if both know it, 1 knows that 2 knows it, 2 knows that 1 knows it, 1 knows that 2 knows that 1 knows it, and so on. This paper provides a Bayesian definition of common knowledge, that is, a definition in terms of beliefs (probability measures). The main result is an equivalence between this definition and a definition in terms of the σ-fields representing 1 and 2's information. To obtain this result the conditional probabilities must be proper and the σ-fields posterior completed.
Original language | English (US) |
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Pages (from-to) | 237-245 |
Number of pages | 9 |
Journal | Journal of Mathematical Economics |
Volume | 16 |
Issue number | 3 |
DOIs | |
State | Published - 1987 |
ASJC Scopus subject areas
- Economics and Econometrics
- Applied Mathematics