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,(ℱi)i∈N,𝔰)(N, Y, (\mathcal{F}_i)_{i \in N}, \mathfrak{s}) where

  • NN is a finite set of players
  • YY is a finite set of elements called states of the world
  • ℱi\mathcal{F}_i is a partition of YY, for each i∈Ni \in N (i.e. collection of disjoint nonempty subsets of YY whose union is YY)
  • 𝔰:Y→S\mathfrak{s}: Y \to S is a function associating each state of the world with a state of nature

Other definitions

Definition (event)

An event is a subset of YY.

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

Definition (knowledge)

Let ω∈Y\omega \in Y be a state of the world, and let A⊆YA \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:2Y→2YK_i : 2^Y \to 2^Y (where 2Y2^Y is the collection of all subsets of YY) by

Ki(A):={ω∈Y: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 ω∗∈KiA\omega_* \in K_i A.

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

KiA⊆AK_i A \subseteq A for every event A⊆YA \subseteq Y and every player i∈Ni \in N.

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

For every pair of events A,B⊆YA, B \subseteq Y, and every player i∈Ni \in N,

A⊆B⟹KiA⊆KiBA \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 A⊆YA \subseteq Y and every player i∈Ni \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