This document provides an introduction to n-person game theory, including definitions of characteristic functions, imputations, and solution concepts such as the core and Shapley value. The core is the set of undominated imputations, where an imputation is dominated if another coalition can do better. The Shapley value provides a more equitable solution than the core by considering each player's marginal contributions. Examples calculating the core and Shapley value are provided for an drug invention game.
Optimization of Fuzzy Matrix Games of Order 4 X 3IJERA Editor
In this paper, we consider a solution for Fuzzy matrix game with fuzzy pay offs. The Solution of Fuzzy matrix games with pure strategies with maximin – minimax principle is discussed. A method takes advantage of the relationship between fuzzy sets and fuzzy matrix game theories can be offered for multicriteria decision making. Here, m x n pay off matrix is reduced to 4 x 3 pay off matrix.
Optimization of Fuzzy Matrix Games of Order 4 X 3IJERA Editor
In this paper, we consider a solution for Fuzzy matrix game with fuzzy pay offs. The Solution of Fuzzy matrix games with pure strategies with maximin – minimax principle is discussed. A method takes advantage of the relationship between fuzzy sets and fuzzy matrix game theories can be offered for multicriteria decision making. Here, m x n pay off matrix is reduced to 4 x 3 pay off matrix.
Solving Fuzzy Matrix Games Defuzzificated by Trapezoidal Parabolic Fuzzy NumbersIJSRD
The matrix game theory gives a mathematical background for dealing with competitive or antagonistic situations arise in many parts of real life. Matrix games have been extensively studied and successfully applied to many fields such as economics, business, management and e-commerce as well as advertising. This paper deals with two-person matrix games whose elements of pay-off matrix are fuzzy numbers. Then the corresponding matrix game has been converted into crisp game using defuzzification techniques. The value of the matrix game for each player is obtained by solving corresponding crisp game problems using the existing method. Finally, to illustrate the proposed methodology, a practical and realistic numerical example has been applied for different defuzzification methods and the obtained results have been compared
Solving Fuzzy Matrix Games Defuzzificated by Trapezoidal Parabolic Fuzzy NumbersIJSRD
The matrix game theory gives a mathematical background for dealing with competitive or antagonistic situations arise in many parts of real life. Matrix games have been extensively studied and successfully applied to many fields such as economics, business, management and e-commerce as well as advertising. This paper deals with two-person matrix games whose elements of pay-off matrix are fuzzy numbers. Then the corresponding matrix game has been converted into crisp game using defuzzification techniques. The value of the matrix game for each player is obtained by solving corresponding crisp game problems using the existing method. Finally, to illustrate the proposed methodology, a practical and realistic numerical example has been applied for different defuzzification methods and the obtained results have been compared
Solving Fuzzy Matrix Games Defuzzificated by Trapezoidal Parabolic Fuzzy NumbersIJSRD
The matrix game theory gives a mathematical background for dealing with competitive or antagonistic situations arise in many parts of real life. Matrix games have been extensively studied and successfully applied to many fields such as economics, business, management and e-commerce as well as advertising. This paper deals with two-person matrix games whose elements of pay-off matrix are fuzzy numbers. Then the corresponding matrix game has been converted into crisp game using defuzzification techniques. The value of the matrix game for each player is obtained by solving corresponding crisp game problems using the existing method. Finally, to illustrate the proposed methodology, a practical and realistic numerical example has been applied for different defuzzification methods and the obtained results have been compared
Term: 2017-2018 FALL SEMESTER,
Course Name: DECISION THEORY AND ANALYSIS
Department: Industrial Engineering
University: Sakarya University
Lecturer: Halil İbrahim Demir (hidemir.sakarya.edu.tr)
Presenter: Caner Erden (cerden.sakarya.edu.tr)
A discussion of basic concepts from game theory, an incredibly useful lemma concerning auctions from mechanism design, and a discussion of TFNP, an interesting complexity class which captures search problems where an answer is guaranteed to exist, such as the problem of finding Nash equilibria in games
Problem Set 4 Due in class on Tuesday July 28. Solutions.docxwkyra78
Problem Set 4: Due in class on Tuesday July 28.
Solution
s to this homework will be posted right after
class hence no late submissions will be accepted. Test 4 on the content of this homework will be given
on August 4 at 9:00am sharp.
Problem 1 (4p)
Consider the following game:
(a) Suppose that the Column player announces that he will play X with probability 0.5 and Y
with probability 0.5 i.e., ½ X ½ Y. Identify all best response strategies of the Row
player, i.e., BR(½ X ½ Y) ?
(b) Identify all best response strategies of the Column player to Row playing ½ A ½ B,
i.e. BR(½ A ½ B)?
(c) What is BR(1/5 X 1/5 Y 3/5 Z)?
(d) What is BR(1/5 A 1/5 B 3/5 C)?
X
Y
Z
A
2
1
1
3
5
-2
B
4
-1
2
1
1
2
C
0
4
3
0
2
1
Page 2 of 4
Problem 2 (4p) Here comes the Two-Finger Morra game again:
C1
C2
C3
C4
R1
0
0
-2
2
3
-3
0
0
R2
2
-2
0
0
0
0
-3
3
R3
-3
3
0
0
0
0
4
-4
R4
0
0
3
-3
-4
4
0
0
To exercise notation and concepts involved in calculating payoffs to mixed strategies, calculate
the following (uR, uC stand for the payoffs to Row and Column respectively):
(a) uR(0.4 R1 0.6 R2, C2) =
(b) uC(0.4 C1 0.6 C2, R3) =
(c) uR(0.3 R2 0.7 R3, 0.2 C1 0.3 C2 0.5 C4 ) =
(d) uC(0.7 C2 0.3 C4, 0.7 R1 0.2 R2 0.1 R3) =
Problem 3 (4p)
X
Y
A
1
6
3
1
B
2
3
0
4
For the game above:
(1) Draw the best response function for each player using the coordinate system below.
Mark Nash equilibria on the diagram.
Page 3 of 4
(2) List the pair of mixed strategies in Nash equilibrium.
(3) Calculate each player’s payoffs in Nash equilibrium.
Problem 4 (4p)
C1
C2
C3
C4
R1
0
0
-2
2
3
-3
0
0
R2
2
-2
0
0
0
0
-3
3
R3
-3
3
0
0
0
0
4
-4
R4
0
0
3
-3
-4
4
0
0
In the Two-Finger morra game above suppose Row decided to play a mix of R1 and R2 and
Column decided to play a mix of C1 and C3. In other words, assume that the original 44 game
is reduced to the 22 game with R1 and R2 and C1 and C3. Using our customary coordinate
system:
(a) Draw the best response functions of both players in the coordinate system as above.
(b) List all Nash equilibria in the game.
(c) Calculate each player’s payoff in Nash equilibrium.
p=1
p=0
q=1 q=0
Page 4 of 4
Problem 5 (4p)
Lucy offers to play the following game with Charlie: “let us show pennies to each othe ...
Solving Fuzzy Matrix Games Defuzzificated by Trapezoidal Parabolic Fuzzy NumbersIJSRD
The matrix game theory gives a mathematical background for dealing with competitive or antagonistic situations arise in many parts of real life. Matrix games have been extensively studied and successfully applied to many fields such as economics, business, management and e-commerce as well as advertising. This paper deals with two-person matrix games whose elements of pay-off matrix are fuzzy numbers. Then the corresponding matrix game has been converted into crisp game using defuzzification techniques. The value of the matrix game for each player is obtained by solving corresponding crisp game problems using the existing method. Finally, to illustrate the proposed methodology, a practical and realistic numerical example has been applied for different defuzzification methods and the obtained results have been compared
Solving Fuzzy Matrix Games Defuzzificated by Trapezoidal Parabolic Fuzzy NumbersIJSRD
The matrix game theory gives a mathematical background for dealing with competitive or antagonistic situations arise in many parts of real life. Matrix games have been extensively studied and successfully applied to many fields such as economics, business, management and e-commerce as well as advertising. This paper deals with two-person matrix games whose elements of pay-off matrix are fuzzy numbers. Then the corresponding matrix game has been converted into crisp game using defuzzification techniques. The value of the matrix game for each player is obtained by solving corresponding crisp game problems using the existing method. Finally, to illustrate the proposed methodology, a practical and realistic numerical example has been applied for different defuzzification methods and the obtained results have been compared
Solving Fuzzy Matrix Games Defuzzificated by Trapezoidal Parabolic Fuzzy NumbersIJSRD
The matrix game theory gives a mathematical background for dealing with competitive or antagonistic situations arise in many parts of real life. Matrix games have been extensively studied and successfully applied to many fields such as economics, business, management and e-commerce as well as advertising. This paper deals with two-person matrix games whose elements of pay-off matrix are fuzzy numbers. Then the corresponding matrix game has been converted into crisp game using defuzzification techniques. The value of the matrix game for each player is obtained by solving corresponding crisp game problems using the existing method. Finally, to illustrate the proposed methodology, a practical and realistic numerical example has been applied for different defuzzification methods and the obtained results have been compared
Term: 2017-2018 FALL SEMESTER,
Course Name: DECISION THEORY AND ANALYSIS
Department: Industrial Engineering
University: Sakarya University
Lecturer: Halil İbrahim Demir (hidemir.sakarya.edu.tr)
Presenter: Caner Erden (cerden.sakarya.edu.tr)
A discussion of basic concepts from game theory, an incredibly useful lemma concerning auctions from mechanism design, and a discussion of TFNP, an interesting complexity class which captures search problems where an answer is guaranteed to exist, such as the problem of finding Nash equilibria in games
Problem Set 4 Due in class on Tuesday July 28. Solutions.docxwkyra78
Problem Set 4: Due in class on Tuesday July 28.
Solution
s to this homework will be posted right after
class hence no late submissions will be accepted. Test 4 on the content of this homework will be given
on August 4 at 9:00am sharp.
Problem 1 (4p)
Consider the following game:
(a) Suppose that the Column player announces that he will play X with probability 0.5 and Y
with probability 0.5 i.e., ½ X ½ Y. Identify all best response strategies of the Row
player, i.e., BR(½ X ½ Y) ?
(b) Identify all best response strategies of the Column player to Row playing ½ A ½ B,
i.e. BR(½ A ½ B)?
(c) What is BR(1/5 X 1/5 Y 3/5 Z)?
(d) What is BR(1/5 A 1/5 B 3/5 C)?
X
Y
Z
A
2
1
1
3
5
-2
B
4
-1
2
1
1
2
C
0
4
3
0
2
1
Page 2 of 4
Problem 2 (4p) Here comes the Two-Finger Morra game again:
C1
C2
C3
C4
R1
0
0
-2
2
3
-3
0
0
R2
2
-2
0
0
0
0
-3
3
R3
-3
3
0
0
0
0
4
-4
R4
0
0
3
-3
-4
4
0
0
To exercise notation and concepts involved in calculating payoffs to mixed strategies, calculate
the following (uR, uC stand for the payoffs to Row and Column respectively):
(a) uR(0.4 R1 0.6 R2, C2) =
(b) uC(0.4 C1 0.6 C2, R3) =
(c) uR(0.3 R2 0.7 R3, 0.2 C1 0.3 C2 0.5 C4 ) =
(d) uC(0.7 C2 0.3 C4, 0.7 R1 0.2 R2 0.1 R3) =
Problem 3 (4p)
X
Y
A
1
6
3
1
B
2
3
0
4
For the game above:
(1) Draw the best response function for each player using the coordinate system below.
Mark Nash equilibria on the diagram.
Page 3 of 4
(2) List the pair of mixed strategies in Nash equilibrium.
(3) Calculate each player’s payoffs in Nash equilibrium.
Problem 4 (4p)
C1
C2
C3
C4
R1
0
0
-2
2
3
-3
0
0
R2
2
-2
0
0
0
0
-3
3
R3
-3
3
0
0
0
0
4
-4
R4
0
0
3
-3
-4
4
0
0
In the Two-Finger morra game above suppose Row decided to play a mix of R1 and R2 and
Column decided to play a mix of C1 and C3. In other words, assume that the original 44 game
is reduced to the 22 game with R1 and R2 and C1 and C3. Using our customary coordinate
system:
(a) Draw the best response functions of both players in the coordinate system as above.
(b) List all Nash equilibria in the game.
(c) Calculate each player’s payoff in Nash equilibrium.
p=1
p=0
q=1 q=0
Page 4 of 4
Problem 5 (4p)
Lucy offers to play the following game with Charlie: “let us show pennies to each othe ...
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
2. INTRODUCTION TO N-PERSON GAME
THEORY
In many competitive situations, there are more
than two competitors. With this in mind, we now
turn our attention to games with three or more
players. Let N {1, 2, . . . , n} be the set of players.
Any game with n players is an n-person game.
21/05/2023 GAME THEORY 2
3. CONT’D
For our purposes, an n-person game is
specified by the game’s characteristic function.
For each subset S of N, the characteristic
function v of a game gives the amount v(S) that
the members of S can be sure of receiving if
they act together and form a coalition. Thus,
v(S) can be determined by calculating the
amount that members of S can get without any
help from players who are not in S.
The characteristics function must satisfy the
superadditivity
21/05/2023 GAME THEORY 3
4. CONT’D
Here are many solution concepts for n-person
games. A solution concept should indicate the
reward that each player will receive. More formally,
let x = {x1, x2, . . . , xn} be a vector such that
player i receives a reward xi. We call such a vector a
reward vector. A reward vector x = (x1, x2, . . . ,
xn) is not a reasonable candidate for a solution
unless x satisfies
If x satisfies both the individual and group
rationality, we say that x is an imputation
21/05/2023 GAME THEORY 4
5. EXAMPLE: THE DRUG GAME
Joe Willie has invented a new drug. Joe cannot
manufacture the drug himself, but he can sell the drug’s
formula to Company 2 or Company 3. The lucky
company will split a $1 million profit with Joe Willie.
Find the characteristic function for this game.
Solution
Letting Joe Willie be player 1, Company 2 be player 2,
and Company 3 be player 3, we find the characteristic
function for this game to be:
v(v({ }) = v({1}) = v({2}) = v({3}) = v({2, 3}) = 0
v({1, 2}) = v({1, 3}) = v({1, 2, 3}) = $1,000,000
21/05/2023 GAME THEORY 5
Empty
coalition
Grand
coalition
6. EXERCISE
Player 1 owns a piece of land and values the land at
$10,000. Player 2 is a subdivider who can develop
the land and increase its worth to $20,000. Player 3
is a subdivider who can develop the land and
increase its worth to $30,000. There are no other
prospective buyers. Find the characteristic function
for this game.
21/05/2023 GAME THEORY 6
7. THE CORE OF AN N PERSON GAME
An important solution concept for an n-person
game is the core. Before defining this, we must
define the concept of domination. Given an
imputation x = (x1, x2, . . . , xn), we say that the
imputation y = (y1, y2, . . . , yn) dominates x
through a coalition S (written y > sx) if
21/05/2023 GAME THEORY 7
8. CONT’D
Thus, if y > sx, then x should not be considered a
possible solution to the game, because the players
in S can object to the rewards given by x and
enforce their objection by banding together and
thereby receiving the rewards given by y [because
members of S can surely receive an amount equal
to v(S)].
The founders of game theory, John von Neumann
and Oskar Morgenstern, argued that a reasonable
solution concept for an n-person game was the set
of all undominated imputations.
21/05/2023 GAME THEORY 8
9. EXAMPLE
Consider a three-person game with the following
characteristic
function:
v({v({ }) = v({1}) = v({2}) = v({3}) = 0,
v({1, 2}) = 0.1, v({1, 3}) = 0.2, v({2, 3}) = 0.2, v({1,
2, 3}) = 1
Let x = (0.05, 0.90, 0.05) and y = (0.10, 0.80, 0.10).
Show that y > {1,3}x
21/05/2023 GAME THEORY 9
10. CONT’D
First, note that both x and y are imputations. Next,
observe that with the imputation y, players 1 and 3
both receive more than they receive with x. Also, y
gives the players in {1, 3} a total of 0.10 + 0.10 =
0.20. Because 0.20 does not exceed v({1, 3}) =
0.20, it is reasonable to assume that players 1 and
3 can band together and receive a total reward of
0.20. Thus, players 1 and 3 will never allow the
rewards given by x to occur.
21/05/2023 GAME THEORY 10
11. CONT’D
Determine the core of an n-person game.
21/05/2023 GAME THEORY 11
Theorem 1 states that an imputation x is in the
core (that x is undominated) if and only if for
every coalition S, the total of the rewards received
by the players in S (according to x) is at least as
large as v(S).
12. FIND THE CORE OF THE DRUG
GAME
For this game, x = (x1, x2, x3) will be an imputation if and only if
x1 ≥ 0
(1)
x2 ≥ 0
(2)
x3 ≥ 0
(3)
x1+ x2 + x3 = $1,000,000
(4)
Theorem 1 shows that x = (x1, x2, x3) will be in the core if and
only if x1, x2, and x3 satisfy (1)–(4) and the following inequalities:
x1 + x2 ≥ $ 1,000,000
(5)
x1 + x3 ≥ $ 1,000,000
(6)
x2 + x3 ≥ $ 0
21/05/2023 GAME THEORY 12
13. CONT’D
To determine the core, note that if x = (x1, x2, x3) is in
the core, then x1, x2, and x3 must satisfy the inequality
generated by adding together inequalities (5)–(8).
Adding (5)–(8) yields 2(x1 + x2 + x3) ≥ $2,000,000, or
x1 + x2 + x3 ≥ $1,000,000 (9)
By (4), x1 + x2 + x3 = $1,000,000. Thus, (5)–(7) must
all be binding.†
Simultaneously solving (5)–(7) as equalities yields x1 =
$1,000,000, x2 = $0, x3 = $0. A quick check shows
that ($1,000,000, $0, $0) does satisfy (1)–(8). In
summary, the core of this game is
the imputation ($1,000,000, $0, $0). Thus, the core
emphasizes the importance of Player 1
21/05/2023 GAME THEORY 13
14. EXERCISE
Player 1 owns a piece of land and values the land at
$10,000. Player 2 is a subdivider who can develop
the land and increase its worth to $20,000. Player 3
is a subdivider who can develop the land and
increase its worth to $30,000. There are no other
prospective buyers. Find the characteristic function
for this game.
Let x = ($19,000, $1,000, $10,000) and y =
($19,800, $100, $10,100).
Find the core of the land development game?
21/05/2023 GAME THEORY 14
15. THE SHAPLEY VALUE †
Now we discuss an alternative solution concept for
n-person games, the Shapley value, which generally
gives more equitable solutions than the core. ‡
The core gives all the rewards to the game’s most
important players, however, the shapely value gives
a more equitable solution.
For any characteristic function, Lloyd Shapley
showed there is a unique reward vector x = (x1,
x2, . . . , xn) satisfying the following axioms:
21/05/2023 GAME THEORY 15
16. AXIOMS
Axiom 1: Relabeling of players interchanges the players’
rewards. Suppose the Shapley value for a three-person game is
x = (10, 15, 20). If we interchange the roles of player 1 and
player 3 [for example, if originally v({1}) = 10 and v({3}) = 15,
we would make v({1}) = 15 and v({3}) = 10], then the Shapley
value for the new game would be x = (20, 15, 10).
Axiom 2: This is simply group rationality
Axiom 3: If v(S - {i}) = v(S) holds for all coalitions S, then the
Shapley value has xi = 0. If player I add no value to any
coalition, then player I receive a reward of zero from the
Shapley value
Axiom 4: Let x be the Shapley value vector for game v, and let y
be the Shapley value vector for the game . Then the Shapley
value vector for the game (v + ) is the vector x + y.
21/05/2023 GAME THEORY 16
17. THEOREM 2
Given any n-person game with the characteristic
function v, there is a unique reward vector x = (x1,
x2, . . . , xn) satisfying Axioms 1–4. The reward of
the ith player (xi) is given by
21/05/2023 GAME THEORY 17
where │S│ is the number of players in S, and for
n ≥ 1, n! n(n -1) … 2(1) (0! = 1).
1
In (1)
2
18. FIND THE SHAPLEY VALUE FOR
THE DRUG GAME
To compute x1, the reward that player 1 should
receive, we list all coalitions S for which player 1 is
not a member. For each of these coalitions, we
compute v(S ∪ {i}) - v(S) and p3(S) (see the following
Tables). Because player 1 adds (on average)
21/05/2023 GAME THEORY 18
Table 1 Table 2
19. CONT’D
21/05/2023 GAME THEORY 19
the Shapley value concept recommends that
player 1 receive a reward of
To compute the Shapley value for player 2, we
require the information in the table in the
previous slide. Thus, the Shapley value
recommends a reward of
for player 2. The Shapley value must allocate a
total of v({1, 2, 3}) $1,000,000 to the players, so
the Shapley value will recommend that player 3
receive $1,000,000 – x – x2 =
20. CONT’D
1. Recall that the core of this game assigned
$1,000,000 to player 1 and no money to players
2 and 3. Thus, the Shapley value treats players 2
and 3 more fairly than the core. In general, the
Shapley value provides more equitable solutions
than the core.
2. For a game with few players, it may be easier to
compute each player’s Shapley value by using the
fact that player i should receive the expected
amount that she adds to the coalition present
when she arrives. For Example 11, this method
yields the computations in Table 2. Each of the
six orderings of the arrivals of the players is
equally likely, so we find that the Shapley value
to each player is as follows:
21/05/2023 GAME THEORY 20
21. CONT’D
3. The Shapley value can be used as a measure of
the power of individual members of a political or
business organization. For example, the UN
Security Council consists of five permanent
members (who have veto power over any resolution)
and ten t members. For a resolution to pass the
Security Council, it must receive at least nine votes,
including the votes of all permanent members.
Assigning a value of 1 to all coalitions that can pass
a resolution and a value of 0 to all coalitions that
cannot pass a resolution defines a characteristic
function. For this characteristic function, it can be
shown that the Shapley value of each permanent
member is 0.1963, and of each nonpermanent
member is 0.001865, giving 5(0.1963) +
10(0.001865) = 1. Thus, the Shapley value
indicates that 5(0.1963) = 98.15% of the power in
the Security Council resides with the permanent
21/05/2023 GAME THEORY 21
Note that any coalition that does not contain player 1 has a worth or value of $0.Any other coalition has a value equal to the maximum value that a member of the coalition places on the piece of land. Thus, we obtain the following characteristicfunction:
v({1}) = $10,000, v({ }) = v({2}) = v({3}) = $0, v({1, 2}) = $20,000,v({1, 3}) = $30,000, v({2, 3}) = $0, v({1, 2, 3}) = $30,000})