Definition (Aumann model of incomplete information)

Let SS be a finite set of states of nature. An Aumann model of incomplete information over set SS of states of nature consists of four components (N,Y,(i)iN,𝔰)(N, Y, (\mathcal{F}_i)_{i \in N}, \mathfrak{s}) where

Other definitions

Definition (event)

An event is a subset of YY.

Event AA obtains in state of world ω\omega if ωA\omega \in A.
It follows that if event AA obtains in state of the world ω\omega and if ABA \subseteq B, then event BB obtains in ω\omega.

Definition (knowledge)

Let ωY\omega \in Y be a state of the world, and let AYA \subseteq Y be an event. Player ii knows AA in ω\omega if

Fi(ω)AF_i(\omega) \subseteq A

If Fi(ω)AF_i(\omega) \subseteq A, then in state of world ω\omega player ii knows event AA obtains, even though he may not know the state of world is ω\omega, as according to his information, Fi(ω)F_i(\omega) are included in the event AA.

Definition (operator)

Define operator Ki:2Y2YK_i : 2^Y \to 2^Y (where 2Y2^Y is the collection of all subsets of YY) by

Ki(A):={ωY:Fi(ω)A}K_i(A) := \{\omega \in Y: F_i(\omega) \subseteq A\}

i.e. set of all states of world in which player ii knows event AA; often denoted as KiAK_i A.

Player ii knows event AA in state of the world ω\omega_* iff ωKiA\omega_* \in K_i A.

Theorem (states of world knowing an event are subsets of states of the world with the event)

KiAAK_i A \subseteq A for every event AYA \subseteq Y and every player iNi \in N.

Theorem (knowledge of an event which is contained in another event)

For every pair of events A,BYA, B \subseteq Y, and every player iNi \in N,

ABKiAKiBA \subseteq B \implies K_i A \subseteq K_i B

If event AA contained in event BB, states of world in which player ii knows event AA form a subset of states of world in which player knows event BB. In other worlds, in every state of the world in which a player knows event AA, he also knows event BB.

Theorem (knowledge of knowledge of event)

For every event AYA \subseteq Y and every player iNi \in N, we have KiKiA=KiAK_i K_i A = K_i A.

More generally, knowledge operator KiK_i of player ii satisfies Kripke's S5 system.


Notes

Most widely accepted statistical approach to dealing with decision problems in situations of incomplete information is the Bayesian approach.

References

  1. M. Maschler, E. Solan, and Shmuel Zamir, Game Theory, Cambridge University Press, 2013, pp. 323-324.
  2. https://cet.econ.northwestern.edu/dekel/pdf/hierarchies-beliefs-common-knowledge.pdf
  3. https://www.cambridge.org/core/journals/economics-and-philosophy/article/states-of-nature-and-the-nature-of-states/A527742E164FB1D451763C4BCEDA2DD4