11 & 12 - Dynamic Games of Incomplete Information Flashcards
How do you deal with noncredible threats in dynamic games?
- perfect information: SPNE eliminates all noncredible threats
- imperfect information: some non-credible threats may remain even after imposing subgame perfection -> further refinement: Perfect Bayesian equilibrium (PBE)
How are Dynamic Games of Incomplete Information represented?
Dynamic games of incomplete information are represented in extensive form by adding Nature as a player who moves first
How are Dynamic games of incomplete information usually analyzed?
using Perfect Bayesian Equilibrium (or some closely related equilibrium concept)
What are the four requirements for Perfect Bayesian Equilibrium?
1) Beliefs: At each information set, the player with the move must have a belief about which node in the information set has been reached by the play of the game.
2) Sequential Rationality: Given their beliefs, the players’ strategies must be sequentially rational
3) Consistent Beliefs: At information sets on the equilibrium path, beliefs are determined by Bayes’ rule and the players’ equilibrium strategies.
4) Off-the path: At information sets off the equilibrium path, beliefs are determined by Bayes’ rule and the players’ equilibrium strategies where possible.
What is a belief in PBE requirement 1?
(“At each information set, the player with the move must have a belief about which node in the information set has been reached by the play of the game.”)
- For a nonsingleton information set, a belief is a probability distribution over the nodes in the information set.
- For a singleton information set, the belief puts probability 1 on that single decision node.
More Formally: system of beliefs μ in an extensive-form game is a specification of a probability μ(x) ∈ [0, 1] for each decision node x such that Σ μ(x) = 1 for all information sets H.
What does “sequentially rational” mean in PBE requirement 2?
(“Given their beliefs, the players’ strategies must be sequentially rational”)
At each information set, the action taken by the player with the move (and the player’s subsequent strategy) must be optimal given the player’s belief at that information set and the other players’ subsequent strategies.
What is a subsequent strategy in PBE?
A subsequent strategy is a complete plan of action covering every contingency that might arise after a given information set has been reached.
What does it mean to say an information H set is on the equilibrium path?
For a given equilibrium strategy profile σ, an information set H is
• on the equilibrium path if H will be reached with strictly positive probability,
• off the equilibrium path if H is certain not to be reached.
How can you calculate players’ beliefs at information sets on the equilibrium path?
Given a strategy profile σ, a decision node x is reached with probability Pr[x | σ].
If information set H has been reached, a player believes to be in decision node x ∈ H with probability Pr[x | H, σ]
What is the typical setup and timing for a signalling game?
1) Nature draws a type t for the Sender from a finite type space T according to a probability distribution p(t),
where p(t) > 0 for all t ∈ T and Σ p(t) = 1.
2) The Sender observes t and then chooses a message m from a finite message space M.
3) The Receiver observes m (but not t) and chooses an action a from a finite action space A.
4) Payoffs uₛ(m, a; t) and uᵣ(m, a; t) are received.
What are pooling and separating strategies in a signalling game?
- pooling if all types send the same message
- separating if each type sends a different message
- partially pooling or semi-separating if some (but not all) types send the same message [if more than two types]
Note: A mixed strategy for the Sender can be hybrid: e.g., t₁ sends m₁ and t₂ randomizes between m₁ and m₂
To find the PBE in signalling games, how can you interpret requirement 1 (beliefs)?
After observing any message m ∈ M, the Receiver must have a belief about which types could have sent m. Denote this belief by the probability distribution μ(t | m), where μ(t | m) ≥ 0 for each t ∈ T, and
Σ μ(t | m) = 1.
To find the PBE in signalling games, how can you interpret requirement 2 (Sequential Rationality)?
At each information set, a player’s action must be optimal given her belief and the other players’ subsequent strategies.
• For the Sender, beliefs are trivial.
• For the Receiver, there are no subsequent strategies.
-> thus both must maximize their utility given their beliefs/subsequent strategies.
To find the PBE in signalling games, how can you interpret requirement 3 (consistent beliefs)?
Requirement 3: At information sets on the equilibrium path, beliefs are determined by Bayes’ rule and the players’ equilibrium strategies.
To find the PBE in signalling games, how can you interpret requirement 4 (strategy off equilibrium path)?
Requirement 4 is without effect: At information sets off the equilibrium path, the Receiver’s belief cannot be derived from the Sender’s strategy.
-> For messages m that are never sent, any belief μ(t | m) is consistent with m*.