Game Theory
For Microeconomics at MPP
Chapter 1: Static Games of Complete Information
Normal-form Games
The Prisoner’s Dilemma game
Prisoner 2
Cooperation
Cooperation
- 1 -- 1
Deviation
- 9 - 0
Prisoner 1
Deviation
0 -- 9
- 6 -- 6
Definition The normal-form representation of an n-player
game specifies the player’s strategy spaces, S1,…,Sn and their
payoff functions u1,…,un. We denote this game by G={ S1, …,Sn ;
u1,…,un }.
Strictly Dominated Strategies
Definition Strategy s’i is strictly dominated by strategy s’’i if for each
combination of other player’s strategies, i’s payoff from playing s’i is strictly
less than i’s payoff from playing s’’i .
Iterated Elimination of Strictly Dominated
Strategies
Player 2
Lef
Middle
Up
1 - 0
Right
1 - 2
0 - 1
0 - 1
2 - 0
Player 1
Down
0 - 3
R
L
M
T
0 - 4
4 - 0
5 - 3
M
4 - 0
0 - 4
5 - 3
B
3 - 5
3 - 5
6 - 6
Nash Equilibrium
Definition In the normal-form game G={ S1, …,Sn ; u1,…,un }, the strategies
(s*1,s*2,…,s*n) are Nash equilibrium if for each player i, s*i is player i’s best
response to the strategies specified for the n-1 players, (s*1,…,s*i-1,s*i+1,
…,s*n) .
L
R
M
T
0 - 4
4 - 0
5 - 3
M
4 - 0
0 - 4
5 - 3
B
3 - 5
3 - 5
6 - 6
Pat
Opera
Opera
2 - 1
Fight
0 - 0
Chris
Fight
0 - 0
The Battle of the Sexes
1 - 2
Mixed Strategies and
Existence of Equilibrium
Player 2
Heads
Tails
Heads
-1 - 1
1 - -1
Tails
1 - -1
-1 - 1
Matching Pennies
Player 2
Hawkish
Hawkish
Dovelike
-1 - -1
2 - 0
0 - 2
1 - 1
Player 1
Dovelike
Hawk- Dove game
Definition In the normal-form game G={ S1, …,Sn ; u1,…,un }, suppose
Si={si1,…,siK}. Then a mixed strategy for player i is a probability distribution
pi=(pi1,…piK), where 0≤piK≤1 for k=1,…,K and pi1+ --- +piK=1.
Player 2
Player 2
L
T
Player 1
M
B
3 --
0 --
0 --
3 --
1 --
1 --
A mixed strategy strictly dominates B.
L
M
Player
q
M
T
3 --
0 --
M
0 --
3 --
B
2 --
2 --
1-q
1
B is best response for player 1 to some mixed strategy of 2, (q,1-q).
Existence of Nash Equilibrium
Theorem (Nash (1950)) In the n-player normal-form game G={ S1, …,Sn ; u1,
…,un }, if n is finite and Si is finite for every i, then there exists at least one Nash
equilibrium, possibly involving mixed strategies.
For any strategic (or social) situation, there is at least one equilibrium.
However, multiple equilibria are probable.
A useful property of mixed-strategy Nash
equilibria
Given a mixed-strategy pi, the support of pi is the set
{sij Si | pij>0}, i.e., the set of strategies assigned with
positive probability.
Each strategy in the support of a mixed Nash
equilibrium strategy earns the same payoff for
the other players’ mixed Nash equilibrium strategy.