User:IssaRice/Aumann's agreement theorem

From Machinelearning

Hal Finney's example

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E={ωΩ:Pr(AI(ω))=q1 and Pr(AJ(ω))=q2}

One of the assumptions in the agreement theorem is that E is common knowledge. This seems like a pretty strange requirement, since it seems like the posterior probability of A can never change no matter what else the agents condition on in addition to E.

What if we take E={ωΩ:Pr(AI(ω))=q1} and say that agent 1 knows E?

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