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GAME THEORY

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Title: GAME THEORY


1
GAME THEORY
  • STRATEGIC DECISION MAKING

Assoc. Prof. Dr. Ramazan Sari
2
OUTLINE
  • INTRODUCTION
  • NORMAL FORM GAMES
  • EXTENSIVE FORM GAMES

3
I. INTRODUCTIONOLIGOPLY
  • Small number of sellers,
  • Product may be either homogeneous (pure
    oligopoly) or differentiated (differentiated
    oligopoly)
  • Entry is possible but difficult.

4
OLIGOPLY
  • Sellers must recognize their interdependence
  • The action of one seller may affect another and,
    thus cause that seller to respond in ways that
    will affect the first seller.

5
Responds???
  • No action at all.
  • Many actions
  • Doing the same thing,
  • Doing the opposite
  • Starting a price war
  • Increasing production
  • Decreasing production
  • ..................

6
The difficulty of formulating models of oligoploy
stems from the many ways that firms interact.
7
There is no general model of oligopoly
8
MODELS OF OLIGOPOLY
  • The Sweezy Model (The Kinked Demand Curve)
  • The Cournot Model (A competition in quantities)
  • The Bertrand Model (A competition in prices)
  • The Stackelberg Model
  • Price Leadership
  • Game Theory

9
GAME THEORY
  • Combination of all!

10
What is Game Theory?
  • GT is an analytical tool that is used to evaluate
    situations where individuals and organizations
    can have conflicting objectives.

11
Where can we use GT?
  • Any situation that requires us to anticipate our
    rivals response to our action is a potential
    context for GT.
  • Games Checkers, poker, chess, tennis, soccer
    etc.
  • Economics Industrial Organization, Micro/Macro/
    International/Labor/Natural resource Economics,
    and Public Finance
  • Political science war/peace (negotiations)
  • Law Designing laws that work
  • Biology animal behavior, evolution
  • Information systems System competition/evolution

12
Where can we use GT? (cont.)
  • Business
  • Games against rival firms
  • Pricing, advertising, marketing, auctions, RD,
    joint ventures, investment, location, quality,
    take over etc.
  • Games against other players
  • Employee/employer, managers/stockholders
  • Supplier/buyer, producer/distributor,
    firm/government

13
Contributors
  • John von Neuman and Oskar Morgenstern (1944) The
    Theory of Games and Economic Behavior
  • John F. Nash (1950-53) Nash equilibrium
  • Martin Shubik (1959) Strategy and Market
    Structure
  • Reinhard Selten (1965) Sub-game perfect
    equilibrium
  • John Harsanyi (1967-68) Games with incomplete
    information

14
Why GT is Important?
  • It helps us understand the strategic interaction
    situation
  • It forces us to think strategically
  • It provides a standard taxonomy for scientific
    approach to making strategic decisions
  • Provides new insights.
  • Both art AND science

15
GT science or art?
  • GT is the science of rational behavior in
    interactive situations.
  • Good strategists mix the science of GT with their
    own experience.
  • To be literate in the modern age, you need to
    have a general understanding of GT. P.Samuelson

16
GT in the News
  • lately game theorists have focused on real-world
    issueshow to raise auction proceeds by revealing
    the bids and how Wal-Mart can coexist with local
    retailers. Consultants are jumping in. McKinsey
    Co. has set up a game theory unit. Forbes, Nov.
    7, 1994
  • GT is hot. The Wall Street Journal, Feb. 13,
    1995.

17
GT in the News (cont.)
  • FCC hired game theorists to construct rules of an
    auction for new wireless phone systems licenses.
    In response, communications companies hired game
    theorists first to negotiate with FCC and then
    help prepare optimal bids given the rules of the
    auction. Business Week, Mar. 14, 1994.
  • GT, long an intellectual passtime, came into its
    own as a business tool. Forbes, July 3, 1995

18
Some Terminology
  • Strategy
  • Payoffs
  • Rationality
  • Common knowledge of rules
  • Equilibrium

19
A Strategy
  • A course of action taken by one of the
    participant in a game.
  • Example
  • In a response to a price change the strategies
    would be
  • Change price
  • Do not change price

20
The Payoff
  • The result or outcome of the strategy
  • Examples
  • Profits
  • Revenues
  • Utility
  • ...

21
The Rationality
  • How good is each player at pursuing his/her aim?
  • Much of game theory assumes that players are
    perfect calculators and flawless followers of
    their best strategies.
  • Two essential ingredients of rationality
  • Complete knowledge of ones own interest,
  • Flawless calculation of what actions will best
    serve those interests.

22
The Common Knowledge of Rules
  • The players have a common understanding of the
    rules of the game.
  • List of players,
  • The strategies available to each player,
  • The payoffs of each player for all possible
    combinations of strategies pursued by all
    players,
  • The assumption that each player is a rational
    maximizer.

23
An Equilibrium
  • A strategy combination that consists of the best
    strategy for each player in the game.

24
II. NORMAL FORM GAMES
  • These are static (one-shot) games of complete and
    imperfect information
  • We focus on games where
  • There are at least two rational players
  • Rationality is common knowledge
  • Each player has more than one choices
  • Players make their strategy choices
    simultaneously
  • The outcome depends on the strategies chosen by
    all players there is strategic interaction

25
3 Components of Normal Form Games
  • A normal (strategic) form game consists of
  • Players set of players
  • Player 1, Player 2, ... Player n
  • Strategies a strategy set for all players
  • S1 S2 ... Sn
  • Payoffs a payoff assigned to every contingency
    (every possible strategy profile as the outcome
    of the game)
  • u1 u2 ... un where ui S1 S2 ... Sn?R.
  • ui(s1, s2 ... sn), for all s1?S1, s2?S2, ...
    sn?Sn

26
AN EXAMPLE
  • Players Two competing firms.
  • Firm 1
  • Firm 2
  • Strategies
  • No price change
  • Price increase
  • Combination of Strategies
  • both of firms increase their prices,
  • neither firm increases its price,
  • Firm 1 increases its price but Firm 2 does not,
  • Firm 2 increases its price but Firm 1 does not.
  • Payoffs Firms can make profit() or loss(-).

27
Creating Payoff Matrix
28
The Payoff Matrix
Firm 2
Price Increase
No Price Change
No Price Change
10, 10
100, -30
Firm 1
140, 20
Price Increase
-20, 30
29
NASH EQUILIBRIUM
  • A set of strategies such that none of the
    participants in the game can improve their
    payoffs given the strategies of the other
    participants.
  • A game may have more than one N.Es.

30
Rules of the Solution
Firm 2
Price Increase
No Price Change
No Price Change
10, 10
100, -30
Firm 1
140, 20
Price Increase
-20, 30
31
The Payoff Matrix
Firm 2
Price Increase
No Price Change
No Price Change
10, 10
100, -30
Firm 1
140, 20
Price Increase
-20, 30
(No Price Change, No Price Change) (10,10)
32
POP QUIZE??!!EXAMPLE (Price Competition)
Coca Cola
Pepsi Cola
33
EXAMPLE (Price Competition)
Coca Cola
Pepsi Cola
34
Prisoners Dilemma
  • Two suspects are caught and put in different
    rooms (no communication). They are offered the
    following deal
  • If both of you confess, you will both get 5 years
    in prison (-5 payoff)
  • If one of you confesses whereas the other does
    not confess, you will get 0 (0 payoff) and 10
    (-10 payoff) years in prison respectively.
  • If neither of you confess, you both will get 2
    years in prison (-2 payoff)

35
Matrix Format of Prisoners Dilemma
Prisoner 2
Do Not Confess
Confess
Confess
-5, -5
0, -10
Prisoner 1
-2, -2
Do Not Confess
-10, 0
36
DOMINANT STRATEGY
  • Whenever a player has a strategy that is strictly
    better than any other strategy regardless of
    other players strategy choices, we say that the
    first player has a dominant strategy.

37
Equilibrium in Dominant Strategies
  • A strictly dominant strategy is the one that
    yields the highest payoff compared to the payoffs
    associated with all other strategies.
  • Rational players will always play their strictly
    dominant strategies.
  • Rational players know that other players will
    play their strictly dominant strategies.
  • If all players have strictly dominant strategies,
    the equilibrium consists of those strategies.

38
Matrix Format of Prisoners Dilemma
Prisoner 2
Do Not Confess
Confess
Confess
-5, -5
0, -10
Prisoner 1
-2, -2
Do Not Confess
-10, 0
39
Dominant Strategy of P1Payoffs of P1
Prisoner 2
Do Not Confess
Confess
Confess
-5
0
Prisoner 1
-2
Do Not Confess
-10
40
Dominant Strategy of P1
  • CONFESS is a strickly dominant strategy of
    Prisoner 1.

41
Dominant Strategy of P2Payoffs of P2
Prisoner 2
Do Not Confess
Confess
Confess
-5
-10
Prisoner 1
-2
Do Not Confess
0
42
Dominant Strategy of P2
  • CONFESS is a strickly dominant strategy of
    Prisoner 2.

43
EQUILIBRIUM of Prisoners Dilemma
Prisoner 2
Do Not Confess
Confess
Confess
-5, -5
0, -10
Prisoner 1
-2, -2
Do Not Confess
-10, 0
  • For both P1 and P2 the strictly dominant strategy
    is to confess
  • Equilibrium in dominant strategies (confess,
    confess)

44
DOMINATED STRATEGIES
  • If there exists a strategy A that always yields
    higher payoffs than strategy B regardless of what
    other players do, then B is said to be dominated
    by A.
  • Iterated elimination of strictly dominated
    strategies
  • Even if there are no strictly dominant
    strategies, some strategies may still be
    dominated
  • Rational players will never play their dominated
    strategies.
  • Eliminating dominated strategies does not always
    lead to a unique solution
  • If eliminating dominated strategies solves the
    game by pointing out a unique outcome then that
    outcome is also the Nash Equilibrium.

45
EQUILIBRIUM of Prisoners Dilemma
Prisoner 2
Do Not Confess
Confess
Confess
-5, -5
0, -10
Prisoner 1
-2, -2
Do Not Confess
-10, 0
46
EQUILIBRIUM of Prisoners Dilemma
Prisoner 2
Do Not Confess
Confess
Confess
-5, -5
0, -10
Prisoner 1
47
EQUILIBRIUM of Prisoners Dilemma
Prisoner 2
Confess
Confess
-5, -5
Prisoner 1
48
EXAMPLE 1
MOBIL
Wide
Narrow
Narrow
14, 14
-1, 16
SHELL
1, 1
Wide
16, -1
49
EXAMPLE 1 (SOLUTION)
  • MOBIL
  • Dominant Strategy WIDE
  • Dominated Strategy NARROW
  • SHELL
  • Dominant Strategy WIDE
  • Dominated Strategy NARROW
  • EQUILIBRIUM
  • (Wide, Wide) (1,1)

50
EXAMPLE 2
MOBIL
Wide
Narrow
Narrow
14, 14
2, 16
SHELL
1, 1
Wide
16, 2
51
EXAMPLE 2 (SOLUTION)
  • No Dominant Strategies
  • There are Two N.E.s
  • (Wide, Narrow) (16, 2)
  • (Narrow, Wide) (2, 16)

52
EXAMPLE 3
MOBIL
SHELL
53
EXAMPLE 3
MOBIL
SHELL
54
ZERO-SUM GAMES (Strictly Competitive Games)
  • A game in which one players gain is always
    matched by another players loss.
  • For example
  • Tennis, soccer,....
  • Land won/lost in a war
  • .

55
Location of Ice-Cream Track Game
Ahmets Location
Mehmets Location
56
Matching Pennies Game
  • Not a coin toss
  • Players decide on which side of the penny to
    show.
  • If both show the same side, P1 pays 1 to P2
    otherwise P2 pays P1 1

Player 2
Player 1
  • There does not exist a Nash equilibrium in this
    strictly competitive game

57
Coordination Games
  • Games in which players face the problem of
    coordinating their strategies
  • Failing to cooperate may or may not be costly
  • RD coordination
  • Destructing nuclear weapons
  • Two types of coordination games
  • Battle of the Sexes Game
  • Assurance Game

58
Battle of the Sexes
Güler
  • Dominant strategies none
  • Dominated strategies none
  • Two Nash equilibria
  • (Erener, Erener)
  • (Aksu, Aksu)

Mehmet
59
Battle of the Sexes Games
  • Each player prefers a different equilibrium
  • Both players prefer coordination
  • If they fail to coordinate, they do not receive
    extremely bad payoffs
  • How to achieve coordination? (If the game is
    played more than once)
  • Rules
  • History
  • Focal point

60
Battle of The Sexes After 30 Years of Marriage
Güler
  • Two Nash equilibria
  • (opera, opera)
  • (movie, movie)
  • Focal point equilibrium (opera, opera)

Mehmet
61
Focal Point
  • Players expectations must converge to reach a
    focal point.
  • However, there is no theoretical backing behind
    the focal point concept.

62
Assurance Games
Technology Adoption Game
  • 2 Nash equilibria
  • (new, new)
  • (old, old)
  • Focal point equilibrium
  • (old, old)

Firm 2
Firm 1
63
Technology Assurance Game
  • Both firms prefer the (old, old) Nash
    equilibrium. However, they cannot decide for sure
    unless they see some kind of assurance from the
    other player that (old, old) equilibrium is what
    the rival also has in mind.
  • How to give assurance
  • Strategic move
  • A player may make a preemptive move to signal the
    intentions
  • Focal point
  • If both players achieve significantly higher
    payoffs in the focal point, the high payoffs may
    be adequate to provide such assurance (as in the
    technology game)

64
Pure Coordination Game
  • Nash equilibriua
  • (Up, Left)
  • (Down, Right)
  • Payoffs do not indicate any focal points

Sometimes convergence of expectations may be
beyond mathematical explanations
65
MAXIMIN STRATEGIES
  • It is not pure profit maximizing strategy
  • Rather, it is designed to avoid highly
    unfavorable outcomes.

66
  • This strategy specifies that each player in the
    game will select the option that maximizes the
    minimum possible profit (or other desirable
    outcome).

67
EXAMPLE
Firm 2
Firm 1
68
EXAMPLE
Firm 2
Firm 1
69
EXAMPLE
Firm 2
Firm 1
70
EXAMPLE
Firm 2
Firm 1
71
III. DYNAMIC EXTENSIVE FORM GAMES
  • Game Trees
  • Games of complete and perfect information

72
Assumptions in Dynamic Extensive Form Games
  • All players are rational.
  • Rationality is common knowledge
  • Players move sequentially. (Therefore, also
    called sequential games)
  • Players have complete and perfect information
  • Players can see the full game tree including the
    payoffs
  • Players can observe and recall all previous moves

73
What is a Game Tree?
Player 1
Right
Left
Player 2
Player 2
A
C
B
D
P11 P21
P12 P22
P13 P23
P14 P24
74
Game tree
x0
  • A game tree has a set of nodes and a set of edges
    such that
  • each edge connects two nodes (these two nodes are
    said to be adjacent)
  • for any pair of nodes, there is a unique path
    that connects these two nodes

a path from x0 to x4
a node
x2
x1
x3
x4
x5
x6
x7
x8
an edge connecting nodes x1 and x5
75
Strategy
  • Recall A strategy for a player is a complete
    plan of actions.
  • It specifies a feasible action for the player in
    every contingency in which the player might be
    called on to act.
  • In a game tree, a strategy for a player is
    represented by a set of edges.
  • A combination of strategies (sets of edges), one
    for each player, induce one path from the root to
    a terminal node, which determines the payoffs of
    all players

76
Entry Game
Migros
Aggressive
Normal
Wal-Mart
Wal-Mart
Enter
Enter
Stay out
Stay out
680 -50
730 0
700 400
800 0
77
Finding Nash Equilibria in Dynamic Extensive Form
Games
  • How to find the Nash equilibria in a dynamic game
    of complete information
  • Construct the normal-form of the dynamic game of
    complete information
  • Find the Nash equilibria in the normal-form
  • This may yield equilibria with incredible
    threats, therefore we need a refinement.
  • Subgame Perfect Equilibrium (SPE)
  • A Nash equilibrium of a dynamic game is
    subgame-perfect if the strategies of the Nash
    equilibrium constitute a Nash equilibrium in
    every subgame of the game.
  • Subgame-perfect Nash equilibrium is a Nash
    equilibrium.
  • Every finite dynamic game of complete and perfect
    information has a subgame-perfect Nash
    equilibrium that can be found by backward
    induction.

78
Entry Game
Migros
Aggressive
Normal
Wal-Mart
Wal-Mart
Enter
Enter
Stay out
Stay out
680 -50
730 0
700 400
800 0
79
Entry Game
Migros
Aggressive
Normal
Wal-Mart
Wal-Mart
Enter
Stay out
Stay out
730 0
700 400
800 0
80
Entry Game
Migros
Aggressive
Normal
Wal-Mart
Wal-Mart
Enter
Stay out
730 0
700 400
81
Entry Game
Migros
Aggressive
SPE is (aggressive, stay out)
Wal-Mart
Stay out
730 0
82
A Generic Game Tree with 3 Players
P1
Right
Left
Middle
P3
2 1 1
P2
X
Y
F
G
P3
P3
3 3 3
-9 2 1
A
C
E
B
D
3 2 2
-2 1 5
4 4 6
-3 3 3
10 2 5
83
A Generic Game Tree with 3 Players
P1
Right
Left
Middle
P3
2 1 1
P2
X
Y
F
P3
P3
3 3 3
C
B
-2 1 5
4 4 6
84
A Generic Game Tree with 3 Players
P1
Right
Left
Middle
P3
2 1 1
P2
Y
F
P3
3 3 3
C
4 4 6
85
A Generic Game Tree with 3 Players
P1
Middle
SPE P1 plays middleP2 plays YP3 plays C
(Middle, Y, C) (4, 4, 6)
P2
Y
P3
C
4 4 6
86
Software Development Game
  • Macrosoft and Microcorp
  • Macro first player
  • Marketing strategies Expensive and Cheap
  • Micro second player
  • Strategies Enter (E) and Stay out (S)

87
Game Tree for S/W Game
Macro
Expensive
Cheap
Micro
Micro
Enter
Stay out
Enter
Stay out
800 0
380 -250
430 0
400 100
88
Solution of the S/W Game
  • SPE Macro plays Expensive and Micro Plays
    Stay out.
  • Micros empty threat I will enter regardless of
    what Macro does
  • A rational Macro would not believe in this threat
  • However, Micro can come up with a commitment
    device such that carrying out the threat becomes
    its only best option.
  • If Micro can create a credible commitment, the
    outcome of the game may change.

89
References
  • Contents of this presentation are gathered from
  • Game Theory with Economic Applications, Bierman
    and Fernandez, 1998, Addison Wesley Reading,
    Massachusetts.
  • Game Theory Introduction and Applications,
    Graham Romp, 1997, Oxford University Press New
    York.
  • A Primer in Game Theory by Robert Gibbons,
    1992, Prentice Hall New York.

90
References
  • Games of Strategy by A.K. Dixit and S. Skeath,
    1999, W.W. Norton and Company, New York.
  • Thinking Strategically by A.K. Dixit and B.J.
    Nalebuff, 1991, W.W. Norton and Company, New York
    (Also available in Turkish via Sabanci University
    Press)
  • X. Liu (Summer 2003) Lectures in Game Theory,
    Graduate School of Industrial Administration,
    Carnegie Mellon University
  • http//www.andrew.cmu.edu/user/xinming/gametheory/
  • U. Soytas (2001 to date) , Lecture notes in
    Strategic Games for Managers, Dep. of BA, METU.
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