MATH4994 Capstone Projects in Mathematics and Economics
|
|
- Allen Cole
- 6 years ago
- Views:
Transcription
1 MATH4994 Capstone Projects in Mathematics and Economics Homework One Course instructor: Prof. Y.K. Kwok 1. This problem is related to the design of the rules of a game among 6 students for allocating 6 coins among this group of Ann, Bob, Carl, Dora, Ed, and Fran. Nature of the game: Ann goes first. She is given a bag that everyone knows contains six gold coins. Ann makes a proposal of how to allocate the six coins among the six contestants, including her. The contestants (including Ann) then vote yes or no on the proposal. If the proposal gets more than half the votes then the coins are allocated according to the proposal and everyone leaves the island. If the proposal gets half or fewer than half the votes then Ann has to leave the island empty-handed and she is out of the game. In this case, the bag of six gold coins passes to Bob. He gets to make a proposal of how to allocate the coins among the remaining contestants (i.e., including Bob but excluding Ann) and the remaining contestants (i.e., including Bob but excluding Ann) then vote. As before, if the proposal gets more than half the votes then the coins are allocated according to the proposal and everyone leaves the island. If the proposal gets half or fewer than half the votes then Bob has to leave the island empty-handed and is out of the game. In this case, the bag of six gold coins passes to Carl. And so on, the same voting rules apply, with each failed proposal leading to expulsion of the proposer, and with the role of proposer being passed on alphabetically. Assumptions made: (a) The coins are indivisible, and side contracts to make monetary payments are not allowed. (b) There are no abstentions; each surviving voter must vote yes or no: whenever a voter is indifferent, she or he votes no. (c) The players only care about the gold (and this is common knowledge). For example, leaving empty handed because your proposal fails is the same as leaving emptyhanded because a successful proposal gives you no coins. (d) All the contestants are rational. Question: What proposal should Ann make and why? Hint: When there are only two contestants left, Fran should reject any proposal made by Ed. How about the reaction of Ed and Fran to any proposal made by Dora when there are three contestants left? Using backward induction, find the optimal proposal placed by Ann. 2. (a) Prove that the divide-and-choose procedure does not guarantee an efficient allocation. (b) Prove that Austin s procedure does not guarantee an efficient allocation. 1
2 3. Is the divide-and-choose procedure manipulable? That is, can one player achieve a strictly better outcome by misrepresenting his true valuation of the cake? Prove that it is not, or give an example where one player achieves a strictly better outcome than obtained with an honest application of the divide-and-choose procedure. 4. Give an example to illustrate that the Selfridge-Conway method for three parties fails to be (a) efficient; (b) equitable. 5. Give an example to demonstrate that the Webb moving knife procedure for three parties is not (a) efficient; (b) equitable. 6. This exercise presents yet another valid algorithm described by Kuhn for fairly dividing the cake. Have Tom cut what he considers equal thirds and ask the other two to identify any of the three pieces they find acceptable (worth a third in the player s estimation). Let us organize this information in a matrix where 1 means this piece is acceptable and 0 means this piece is unacceptable. The information might look like the table below, for example. X 1 X 2 X 3 Tom Dick Harry (a) How can the division be accomplished in this case? (b) Why may we assume that all entries in the first row are 1? Can there be a row with no 1? (c) Devise a method of fair division if the table looks like: (Of course, further cuts will be required.) X 1 X 2 X 3 Tom Dick Harry (d) Considering the problem for four players, how could you proceed if the matrix takes the form given? X 1 X 2 X 3 X 4 Tom Dick Harry Amy
3 (e) Assuming that there is always a fair division for three players, consider the problem for four players and show in all cases that a fair division is possible. 7. Suppose the cake is cut in six pieces and you get the first and last choice. (a) How much are you sure to get by your estimation on your first choice? The last choice? (b) Show the two combined choices will always guarantee you at least 1/5 of the cake. Under what conditions will you get only 1/5 of the cake? 8. How many cuts are required in the worst case to divide cake fairly among three persons using the Kuhn Algorithm described in Problem 6? 9. To modify Stromquist s Moving Knife Algorithm so that it applies to the dirty work problem, ask a referee to move a sword from left to right dividing X into two pieces, X 1 to the right of the sword and X 2 to the left. Simultaneously, have the three players adjust parallel knives over X 2 so that each of their knives cuts X 2 in exact halves. Instruct the players that when any one of them says cut, the lawn will be cut in three portions by the referee s sword and the middle knife of the three players, creating partitions X 2 = X 2 X 2 and X = X 2 X 2 X 1. Further instruct them that they should say cut whenever they first think X 1 is smaller than or equal to both X 2 and X 2. Without loss of generality, we can assume that the players knives from left to right belong to P 1, P 2 and P 3, respectively. Consider the three cases generated by which of the three players says cut and show how, in each case, to assign X 2, X 2, and X 1 to the players in an envy-free way. 10. Consider the following fair division procedure for 3-people: Amy, Beth, and Colin. Amy divides the cake into two pieces of equal value in her opinion. Beth takes the larger (in her opinion) of the two pieces, and gives the remaining piece to Amy. Amy and Beth each divide their piece of cake into three pieces they consider to be equally valuable. There are now six pieces of cake. Colin chooses one piece of cake from Amy s three pieces, and one piece of cake from Beth s three pieces. Amy keeps her remaining two pieces and Beth keeps her remaining two pieces. (a) Is this procedure proportional? Why or why not? (b) Is this procedure envy-free? Why or why not? 11. (a) Determine the allocation determined by the adjusted winner procedure for the following example. Ross Item Rachel s Points Points 35 Manhattan Apartment Custody of Daughter Emma Share in ownership of local coffee shop 15 5 Right to spend Thanksgiving with Monica and Chandler Total 100 3
4 (b) Observing that the distributions of points allocated to the items by the two players are quite close, explain why each party gets relatively few points overall in the final distributions. 12. The adjusted winner procedure can be adapted for unequal entitlements. Suppose that Annie and Ben are getting a divorce, but they signed a pre-nuptial agreement that gives Annie 60% of the joint property and Ben 40%. During the equitability adjustment stage of the adjusted winner procedure, Annie s point total should be exactly 1.5 times that of Ben. Determine the allocation dictated by the adjusted winner procedure for the following items. Annie s Points Item Ben s Points 35 Right to retain lease on apartment Entertainment System Pool table Antique Table Washer & Dryer Total Emma and Kate are planning to open a new restaurant, and have several projects to finish before they will be ready to open. They would rather split up the projects between them so that each person has full control of a few specific issues instead of working together on each of the different projects. Each person has devoted 100 points to the projects listed below. Emma s Points Item Kate s Points 20 Menu Design Interior Design Advertising 5 15 Dining Room Layout Bar Layout Hiring Waitstaff Hiring Chefs Total 100 Another method for dividing goods or issues between two people is balanced alternation, wherein the two parties take turns choosing issues and the party that chooses second is compensated by being able to choose two items during his first turn. For example, if persons A and B are dividing six goods between them, then they might choose in the following order: A,B,B,A,B,A. (a) If Emma and Kate use balanced alternation rather than adjusted winner, what is the final allocation of issues? (b) Is Emma better or worse off with balanced alternation than with adjusted winner? What about Kate? 4
5 (c) Describe a particular example of two sets of goods to be divided where adjusted winner is far better than balanced alternation. (d) Is there any situation in which the parties might prefer to use balanced alternation over adjusted winner? 14. Eighteen cookies are to be divided between three good friends (Michael, Mike, and Peter) after a hard night s work in Athens, Georgia. There are six chocolate chip cookies, 6 peanut butter cookies, and 6 sugar cookies with rainbow sprinkles. Michael is thinking of going vegan (he s already a vegetarian), so the chocolate chip cookies are worthless to him (fortunately, the peanut butter and sugar cookies were made without eggs, butter, or milk). He likes the peanut butter and sugar cookies equally. Mike is allergic to peanuts, so he cannot eat the peanut butter cookies. He likes the chocolate chip and sugar cookies equally. Peter likes the chocolate chip and peanut butter cookies equally but does not like the sugar cookies at all the sprinkles fall into his mandolin. Give examples of allocations of cookies (all 18 must be accounted for) that are (a) envy-free but not equitable; (b) equitable but not envy-free. 15. Consider the following marriage problem where all men prefer the same woman as their first choice and all women prefer the same man as their first choice P (m 1 ) = w 1, w 2, w 3 P (w 1 ) = m 1, m 2, m 3 P (m 2 ) = w 1, w 2, w 3 P (w 2 ) = m 1, m 3, m 2 P (m 3 ) = w 1, w 3, w 2 P (w 3 ) = m 1, m 2, m 3 Find the corresponding stable matchings for men-oriented µ M and women-oriented µ W. Hint: Explain why any matching that does not pair m 1 with w 1 is unstable. 16. Man-woman-child matching problem: There are three sets of people: men, women, and children. A matching is a division of the people into groups of three, containing one man, one woman, and one child. Each person has preferences over the sets of pairs he or she might possibly be matched with. A man, woman, and child (m, w, c) block a matching µ if m prefers (w, c) to µ(m); w prefers (m, c) to µ(w), and c prefers (m, w) to µ(c). A matching is stable only if it is not blocked by any such three agents. Consider three men, three women, and three children, with the following preferences: P (m 1 ) = (w 1, c 3 ), (w 2, c 3 ), (w 1, c 1 ),... (arbitrary) P (m 2 ) = (w 2, c 3 ), (w 2, c 2 ), (w 3, c 3 ),... (arbitrary) P (m 3 ) = (w 3, c 3 ),... (arbitrary) P (w 1 ) = (m 1, c 1 ),... (arbitrary) P (w 2 ) = (m 2, c 3 ), (m 1, c 3 ), (m 2, c 2 ),... (arbitrary) P (w 3 ) = (m 2, c 3 ), (m 3, c 3 ),... (arbitrary) P (c 1 ) = (m 1, w 1 ),... (arbitrary) P (c 2 ) = (m 2, w 2 ),... (arbitrary) P (c 3 ) = (m 1, w 3 ), (m 2, w 3 ), (m 1, w 2 ), (m 3, w 3 ),... (arbitrary). 5
6 Show that there is no stable matching in this example. Remark Observe that the preferences in this problem are separable into preferences over men, women, and children; that is, there are no preferences like (m, w, c) is preferred by m to (m, w, c ), but (m, w, c ) is preferred to (m, w, c). 17. Many-to-one matching Consider a set of firms and a set of workers. Each worker can work for at most one firm and has preferences over those firms he is willing to work for. Each firm can hire as many workers as it wishes and has preferences over those subsets of workers it is willing to employ. It is clear what a matching is in this case, and a firm F and a subset of workers C block a matching µ if F prefers C to the set of workers assigned to it at µ, and every worker in C who is not assigned to F prefers F to the firm he is assigned by µ. Consider two firms and three workers with the following preferences: P (F 1 ) = {w 1, w 3 }, {w 1, w 2 }, {w 2, w 3 }, {w 1 }, {w 2 } P (F 2 ) = {w 1, w 3 }, {w 2, w 3 }, {w 1, w 2 }, {w 3 }, {w 1 }, {w 2 } P (w 1 ) = F 2, F 1 P (w 2 ) = F 2, F 1 P (w 3 ) = F 1, F 2. Find the five individually rational matchings without unemployment. Show that each of these matchings can be blocked by some matching pair. Check that any matching that leaves w 1 unmatched is blocked either by (F 1, w 1 ) or by (F 2, w 1 ); any matching that leaves w 2 unmatched is blocked either by (F 1, w 2 ), (F 2, w 2 ), or (F 2, {w 2, w 3 }). Finally, any matching that leaves w 3 unmatched is blocked by (F 2, {w 1, w 3 }). 6
MATH4994 Capstone Projects in Mathematics and Economics. 1.1 Criteria for fair divisions Proportionality, envy-freeness, equitability and efficiency
MATH4994 Capstone Projects in Mathematics and Economics Topic One: Fair allocations and matching schemes 1.1 Criteria for fair divisions Proportionality, envy-freeness, equitability and efficiency 1.2
More informationMATH4999 Capstone Projects in Mathematics and Economics. 1.1 Criteria for fair divisions Proportionality, envy-freeness, equitability and efficiency
MATH4999 Capstone Projects in Mathematics and Economics Topic One: Fair allocations and matching schemes 1.1 Criteria for fair divisions Proportionality, envy-freeness, equitability and efficiency 1.2
More informationSF2972: Game theory. Plan. The top trading cycle (TTC) algorithm: reference
SF2972: Game theory The 2012 Nobel prize in economics : awarded to Alvin E. Roth and Lloyd S. Shapley for the theory of stable allocations and the practice of market design The related branch of game theory
More informationSF2972: Game theory. Introduction to matching
SF2972: Game theory Introduction to matching The 2012 Nobel Memorial Prize in Economic Sciences: awarded to Alvin E. Roth and Lloyd S. Shapley for the theory of stable allocations and the practice of market
More informationThere are several schemes that we will analyze, namely: The Knaster Inheritance Procedure. Cake-Division Procedure: Proportionality
Chapter 13 Fair Division Fair Division Problems When demands or desires of one party are in conflict with those of another; however, objects must be divided or contents must be shared in such a way that
More informationCutting a Pie Is Not a Piece of Cake
Cutting a Pie Is Not a Piece of Cake Julius B. Barbanel Department of Mathematics Union College Schenectady, NY 12308 barbanej@union.edu Steven J. Brams Department of Politics New York University New York,
More informationRMT 2015 Power Round Solutions February 14, 2015
Introduction Fair division is the process of dividing a set of goods among several people in a way that is fair. However, as alluded to in the comic above, what exactly we mean by fairness is deceptively
More informationChapter 13. Fair Division. Chapter Outline. Chapter Summary
Chapter 13 Fair Division Chapter Outline Introduction Section 13.1 The Adjusted Winner Procedure Section 13.2 The Knaster Inheritance Procedure Section 13.3 Taking Turns Section 13.4 Divide-and-Choose
More informationA fair division procedure is equitable if each player believes he or she received the same fractional part of the total value.
Math 167 Ch 13 Review 1 (c) Janice Epstein CHAPTER 13 FAIR DIVISION A fair division procedure is equitable if each player believes he or she received the same fractional part of the total value. A fair
More informationCS269I: Incentives in Computer Science Lecture #20: Fair Division
CS69I: Incentives in Computer Science Lecture #0: Fair Division Tim Roughgarden December 7, 016 1 Cake Cutting 1.1 Properties of the Cut and Choose Protocol For our last lecture we embark on a nostalgia
More informationA MOVING-KNIFE SOLUTION TO THE FOUR-PERSON ENVY-FREE CAKE-DIVISION PROBLEM
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 125, Number 2, February 1997, Pages 547 554 S 0002-9939(97)03614-9 A MOVING-KNIFE SOLUTION TO THE FOUR-PERSON ENVY-FREE CAKE-DIVISION PROBLEM STEVEN
More information2 An n-person MK Proportional Protocol
Proportional and Envy Free Moving Knife Divisions 1 Introduction Whenever we say something like Alice has a piece worth 1/2 we mean worth 1/2 TO HER. Lets say we want Alice, Bob, Carol, to split a cake
More informationThe Math of Rational Choice - Math 100 Spring 2015 Part 2. Fair Division
The Math of Rational Choice - Math 100 Spring 2015 Part 2 Fair Division Situations where fair division procedures are useful: Inheritance; dividing assets after death Divorce: dividing up the money, books,
More informationAn extended description of the project:
A brief one paragraph description of your project: - Our project mainly focuses on dividing the indivisible properties. This method is applied in many situation of the real life such as: divorce, inheritance,
More informationN represents the number of players (at least 3).
Section 5. The last-diminisher method. N represents the number of players (at least 3). First order the players: P1, P2, P3 etc. Basic principle: the first player in each round marks a piece and claims
More informationChapter 13: Fair Division
October 7, 2013 Motiving Question In 1991 Ivana and Donald Trump divorce. The marital assets included a 45-room mansion in Greenwich, Connecticut; the 118-room Mar-a-Lago mansion in Palm Beach, Florida;
More informationA fair division procedure is equitable if each player believes he or she received the same fractional part of the total value.
(c) Epstein 2013 Chapter 13: Fair Division P a g e 1 CHAPTER 13: FAIR DIVISION Matthew and Jennifer must split 6 items between the two of them. There is a car, a piano, a Matisse print, a grandfather clock,
More informationPROBLEM SET 1 1. (Geanokoplos, 1992) Imagine three girls sitting in a circle, each wearing either a red hat or a white hat. Each girl can see the colo
PROBLEM SET 1 1. (Geanokoplos, 1992) Imagine three girls sitting in a circle, each wearing either a red hat or a white hat. Each girl can see the color of the hat of the other two girls, but not the color
More informationChapter 4. Section 4.1: Divide and Choose Methods. Next: reading homework
Chapter 4 Section 4.1: Divide and Choose Methods Next: reading homework Reading Homework Read Section 4.2 Do problem 22 Next: fair division Fair Division Mathematical way of discussing how to divide resources
More informationFair Division. Fair Division 31
Fair Division 31 Fair Division Whether it is two kids sharing a candy bar or a couple splitting assets during a divorce, there are times in life where items of value need to be divided between two or more
More informationPROBLEM SET 1 1. (Geanokoplos, 1992) Imagine three girls sitting in a circle, each wearing either a red hat or a white hat. Each girl can see the colo
PROBLEM SET 1 1. (Geanokoplos, 1992) Imagine three girls sitting in a circle, each wearing either a red hat or a white hat. Each girl can see the color of the hat of the other two girls, but not the color
More information2. The Extensive Form of a Game
2. The Extensive Form of a Game In the extensive form, games are sequential, interactive processes which moves from one position to another in response to the wills of the players or the whims of chance.
More informationMechanism Design without Money II: House Allocation, Kidney Exchange, Stable Matching
Algorithmic Game Theory Summer 2016, Week 8 Mechanism Design without Money II: House Allocation, Kidney Exchange, Stable Matching ETH Zürich Peter Widmayer, Paul Dütting Looking at the past few lectures
More informationBasic Elements. The value systems that give each player the ability to quantify the value of the goods.
Chapter 3: The Mathematics of Sharing Sections 1-3: The Lone Divider Method Thursday, April 5, 2012 In this chapter, we will discuss several ways that something can be divided among competing parties in
More information3 The Mathematics of Sharing
3 The Mathematics of Sharing 3.1 Fair-Division Games 3.2 Two Players: The Divider-Chooser Method 3.3 The Lone-Divider Method 3.4 The Lone-Chooser Method 3.5 The Last-Diminsher Method 3.6 The Method of
More informationGAMES AND STRATEGY BEGINNERS 12/03/2017
GAMES AND STRATEGY BEGINNERS 12/03/2017 1. TAKE AWAY GAMES Below you will find 5 different Take Away Games, each of which you may have played last year. Play each game with your partner. Find the winning
More informationto j to i to i to k to k to j
EXACT PROCEDURES FOR ENVY-FREE CHORE DIVISION ELISHA PETERSON AND FRANCIS EDWARD SU draft version October 22, 1998 Abstract. We develop the rst explicit procedures for exact envy-free chore division for
More informationIntroduction to (Networked) Game Theory. Networked Life NETS 112 Fall 2014 Prof. Michael Kearns
Introduction to (Networked) Game Theory Networked Life NETS 112 Fall 2014 Prof. Michael Kearns percent who will actually attend 100% Attendance Dynamics: Concave equilibrium: 100% percent expected to attend
More informationMath 611: Game Theory Notes Chetan Prakash 2012
Math 611: Game Theory Notes Chetan Prakash 2012 Devised in 1944 by von Neumann and Morgenstern, as a theory of economic (and therefore political) interactions. For: Decisions made in conflict situations.
More informationIntroduction to (Networked) Game Theory. Networked Life NETS 112 Fall 2016 Prof. Michael Kearns
Introduction to (Networked) Game Theory Networked Life NETS 112 Fall 2016 Prof. Michael Kearns Game Theory for Fun and Profit The Beauty Contest Game Write your name and an integer between 0 and 100 Let
More information13.4 Taking Turns. The answer to question 1) could be "toss a coin" or bid for the right to go first, as in an auction.
13.4 Taking Turns For many of us, an early lesson in fair division happens in elementary school with the choosing of sides for a kickball team or some such thing. Surprisingly, the same fair division procedure
More information1. How many subsets are there for the set of cards in a standard playing card deck? How many subsets are there of size 8?
Math 1711-A Summer 2016 Final Review 1 August 2016 Time Limit: 170 Minutes Name: 1. How many subsets are there for the set of cards in a standard playing card deck? How many subsets are there of size 8?
More informationGrade 7/8 Math Circles. February 14 th /15 th. Game Theory. If they both confess, they will both serve 5 hours of detention.
Faculty of Mathematics Waterloo, Ontario N2L 3G1 Centre for Education in Mathematics and Computing Grade 7/8 Math Circles February 14 th /15 th Game Theory Motivating Problem: Roger and Colleen have been
More informationThe Undercut Procedure: An Algorithm for the Envy-Free Division of Indivisible Items
The Undercut Procedure: An Algorithm for the Envy-Free Division of Indivisible Items Steven J. Brams Department of Politics New York University New York, NY 10012 USA steven.brams@nyu.edu D. Marc Kilgour
More informationHow to divide things fairly
MPRA Munich Personal RePEc Archive How to divide things fairly Steven Brams and D. Marc Kilgour and Christian Klamler New York University, Wilfrid Laurier University, University of Graz 6. September 2014
More informationIn this paper we show how mathematics can
Better Ways to Cut a Cake Steven J. Brams, Michael A. Jones, and Christian Klamler In this paper we show how mathematics can illuminate the study of cake-cutting in ways that have practical implications.
More informationDynamic Games: Backward Induction and Subgame Perfection
Dynamic Games: Backward Induction and Subgame Perfection Carlos Hurtado Department of Economics University of Illinois at Urbana-Champaign hrtdmrt2@illinois.edu Jun 22th, 2017 C. Hurtado (UIUC - Economics)
More informationCake Cutting. Suresh Venkatasubramanian. November 20, 2013
Cake Cutting Suresh Venkatasubramanian November 20, 2013 By a cake is meant a compact convex set in some Euclidean space. I shall take the space to be R, so that the cake is simply a compact interval I,
More informationECO 463. SimultaneousGames
ECO 463 SimultaneousGames Provide brief explanations as well as your answers. 1. Two people could benefit by cooperating on a joint project. Each person can either cooperate at a cost of 2 dollars or fink
More informationBetter Ways to Cut a Cake
Better Ways to Cut a Cake Steven J. Brams Department of Politics New York University New York, NY 10003 UNITED STATES steven.brams@nyu.edu Michael A. Jones Department of Mathematics Montclair State University
More informationChapter 13. Game Theory
Chapter 13 Game Theory A camper awakens to the growl of a hungry bear and sees his friend putting on a pair of running shoes. You can t outrun a bear, scoffs the camper. His friend coolly replies, I don
More informationWaste Makes Haste: Bounded Time Protocols for Envy-Free Cake Cutting with Free Disposal
Waste Makes Haste: Bounded Time Protocols for Envy-Free Cake Cutting with Free Disposal Erel Segal-Halevi erelsgl@gmail.com Avinatan Hassidim avinatanh@gmail.com Bar-Ilan University, Ramat-Gan 5290002,
More informationLecture 7: The Principle of Deferred Decisions
Randomized Algorithms Lecture 7: The Principle of Deferred Decisions Sotiris Nikoletseas Professor CEID - ETY Course 2017-2018 Sotiris Nikoletseas, Professor Randomized Algorithms - Lecture 7 1 / 20 Overview
More informationDivide-and-conquer: A proportional, minimal-envy cake-cutting algorithm
MPRA Munich Personal RePEc Archive Divide-and-conquer: A proportional, minimal-envy cake-cutting algorithm Brams, Steven J; Jones, Michael A and Klamler, Christian New York University, American Mathematical
More informationTHEORY: NASH EQUILIBRIUM
THEORY: NASH EQUILIBRIUM 1 The Story Prisoner s Dilemma Two prisoners held in separate rooms. Authorities offer a reduced sentence to each prisoner if he rats out his friend. If a prisoner is ratted out
More informationEconS Sequential Move Games
EconS 425 - Sequential Move Games Eric Dunaway Washington State University eric.dunaway@wsu.edu Industrial Organization Eric Dunaway (WSU) EconS 425 Industrial Organization 1 / 57 Introduction Today, we
More informationThe undercut procedure: an algorithm for the envy-free division of indivisible items
MPRA Munich Personal RePEc Archive The undercut procedure: an algorithm for the envy-free division of indivisible items Steven J. Brams and D. Marc Kilgour and Christian Klamler New York University January
More informationMath 130 Sample Exam 4
Math 130 Sample Exam 4 (Note that the actual exam will have 24 questions.) 1) Kansas used three letters (excluding Q and X) followed by three digits on license plates. How many license plates are possible?
More informationCIS 2033 Lecture 6, Spring 2017
CIS 2033 Lecture 6, Spring 2017 Instructor: David Dobor February 2, 2017 In this lecture, we introduce the basic principle of counting, use it to count subsets, permutations, combinations, and partitions,
More information13.4 Taking Turns. The answer to question 1) could be "toss a coin" or bid for the right to go first, as in an auction.
13.4 Taking Turns For many of us, an early lesson in fair division happens in elementary school with the choosing of sides for a kickball team or some such thing. Surprisingly, the same fair division procedure
More informationPROBLEM SET Explain the difference between mutual knowledge and common knowledge.
PROBLEM SET 1 1. Define Pareto Optimality. 2. Explain the difference between mutual knowledge and common knowledge. 3. Define strategy. Why is it possible for a player in a sequential game to have more
More informationFoundations of Computing Discrete Mathematics Solutions to exercises for week 12
Foundations of Computing Discrete Mathematics Solutions to exercises for week 12 Agata Murawska (agmu@itu.dk) November 13, 2013 Exercise (6.1.2). A multiple-choice test contains 10 questions. There are
More informationCCST9017. Hidden Order in Daily Life:
CCST9017 Hidden Order in Daily Life: A Mathematical Perspective Lecture 4 Shapley Value and Power Indices I Prof. Patrick,Tuen Wai Ng Department of Mathematics, HKU Example 1: An advertising agent approaches
More informationArpita Biswas. Speaker. PhD Student (Google Fellow) Game Theory Lab, Dept. of CSA, Indian Institute of Science, Bangalore
Speaker Arpita Biswas PhD Student (Google Fellow) Game Theory Lab, Dept. of CSA, Indian Institute of Science, Bangalore Email address: arpita.biswas@live.in OUTLINE Game Theory Basic Concepts and Results
More informationCake-cutting Algorithms
Cake-cutting Algorithms Folien zur Vorlesung Sommersemester 2016 Dozent: Prof. Dr. J. Rothe J. Rothe (HHU Düsseldorf) Cake-cutting Algorithms 1 / 22 Preliminary Remarks Websites Websites Vorlesungswebsite:
More informationProblem Set 2. Counting
Problem Set 2. Counting 1. (Blitzstein: 1, Q3 Fred is planning to go out to dinner each night of a certain week, Monday through Friday, with each dinner being at one of his favorite ten restaurants. i
More informationGrade 6 Math Circles Combinatorial Games - Solutions November 3/4, 2015
Faculty of Mathematics Waterloo, Ontario N2L 3G1 Centre for Education in Mathematics and Computing Grade 6 Math Circles Combinatorial Games - Solutions November 3/4, 2015 Chomp Chomp is a simple 2-player
More informationCOMPSCI 223: Computational Microeconomics - Practice Final
COMPSCI 223: Computational Microeconomics - Practice Final 1 Problem 1: True or False (24 points). Label each of the following statements as true or false. You are not required to give any explanation.
More informationGame Theory two-person, zero-sum games
GAME THEORY Game Theory Mathematical theory that deals with the general features of competitive situations. Examples: parlor games, military battles, political campaigns, advertising and marketing campaigns,
More informationProbability and Counting Techniques
Probability and Counting Techniques Diana Pell (Multiplication Principle) Suppose that a task consists of t choices performed consecutively. Suppose that choice 1 can be performed in m 1 ways; for each
More information12. 6 jokes are minimal.
Pigeonhole Principle Pigeonhole Principle: When you organize n things into k categories, one of the categories has at least n/k things in it. Proof: If each category had fewer than n/k things in it then
More informationCutting a pie is not a piece of cake
MPRA Munich Personal RePEc Archive Cutting a pie is not a piece of cake Julius B. Barbanel and Steven J. Brams and Walter Stromquist New York University December 2008 Online at http://mpra.ub.uni-muenchen.de/12772/
More informationTopic 1: defining games and strategies. SF2972: Game theory. Not allowed: Extensive form game: formal definition
SF2972: Game theory Mark Voorneveld, mark.voorneveld@hhs.se Topic 1: defining games and strategies Drawing a game tree is usually the most informative way to represent an extensive form game. Here is one
More informationGame Theory and Economics of Contracts Lecture 4 Basics in Game Theory (2)
Game Theory and Economics of Contracts Lecture 4 Basics in Game Theory (2) Yu (Larry) Chen School of Economics, Nanjing University Fall 2015 Extensive Form Game I It uses game tree to represent the games.
More informationGame Theory and Algorithms Lecture 3: Weak Dominance and Truthfulness
Game Theory and Algorithms Lecture 3: Weak Dominance and Truthfulness March 1, 2011 Summary: We introduce the notion of a (weakly) dominant strategy: one which is always a best response, no matter what
More informationCompute P(X 4) = Chapter 8 Homework Problems Compiled by Joe Kahlig
141H homework problems, 10C-copyright Joe Kahlig Chapter 8, Page 1 Chapter 8 Homework Problems Compiled by Joe Kahlig Section 8.1 1. Classify the random variable as finite discrete, infinite discrete,
More informationMath 147 Elementary Probability/Statistics I Additional Exercises on Chapter 4: Probability
Math 147 Elementary Probability/Statistics I Additional Exercises on Chapter 4: Probability Student Name: Find the indicated probability. 1) If you flip a coin three times, the possible outcomes are HHH
More information2. Heather tosses a coin and then rolls a number cube labeled 1 through 6. Which set represents S, the sample space for this experiment?
1. Jane flipped a coin and rolled a number cube with sides labeled 1 through 6. What is the probability the coin will show heads and the number cube will show the number 4? A B C D 1 6 1 8 1 10 1 12 2.
More informationMicroeconomics of Banking: Lecture 4
Microeconomics of Banking: Lecture 4 Prof. Ronaldo CARPIO Oct. 16, 2015 Administrative Stuff Homework 1 is due today at the end of class. I will upload the solutions and Homework 2 (due in two weeks) later
More informationDominant and Dominated Strategies
Dominant and Dominated Strategies Carlos Hurtado Department of Economics University of Illinois at Urbana-Champaign hrtdmrt2@illinois.edu Junel 8th, 2016 C. Hurtado (UIUC - Economics) Game Theory On the
More informationGAME THEORY Day 5. Section 7.4
GAME THEORY Day 5 Section 7.4 Grab one penny. I will walk around and check your HW. Warm Up A school categorizes its students as distinguished, accomplished, proficient, and developing. Data show that
More informationUnit 6 Notes Day 6 FAIR DIVISION ALGORITHMS CONTINUOUS CASE SECTION 2.5
Unit 6 Notes Day 6 FAIR DIVISION ALGORITHMS CONTINUOUS CASE SECTION 2.5 Warm-Up Get out: Notebook Paper for Test 5 Corrections Put phones in pockets!! Last night s HW opened up Packet p. 9 Warm-Up = Test
More informationLecture 12: Extensive Games with Perfect Information
Microeconomics I: Game Theory Lecture 12: Extensive Games with Perfect Information (see Osborne, 2009, Sections 5.1,6.1) Dr. Michael Trost Department of Applied Microeconomics January 31, 2014 Dr. Michael
More informationExploitability and Game Theory Optimal Play in Poker
Boletín de Matemáticas 0(0) 1 11 (2018) 1 Exploitability and Game Theory Optimal Play in Poker Jen (Jingyu) Li 1,a Abstract. When first learning to play poker, players are told to avoid betting outside
More informationIncentives and Game Theory
April 15, 2010 This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License. Putting Utilitarianism to Work Example Suppose that you and your roomate are considering
More informationDivide-and-Conquer: A Proportional, Minimal-Envy Cake-Cutting Procedure
Divide-and-Conquer: A Proportional, Minimal-Envy Cake-Cutting Procedure Steven J. Brams Department of Politics New York University New York, NY 10003 UNITED STATES steven.brams@nyu.edu Michael A. Jones
More informationCheckpoint Questions Due Monday, October 7 at 2:15 PM Remaining Questions Due Friday, October 11 at 2:15 PM
CS13 Handout 8 Fall 13 October 4, 13 Problem Set This second problem set is all about induction and the sheer breadth of applications it entails. By the time you're done with this problem set, you will
More informationSenior Math Circles February 10, 2010 Game Theory II
1 University of Waterloo Faculty of Mathematics Centre for Education in Mathematics and Computing Senior Math Circles February 10, 2010 Game Theory II Take-Away Games Last Wednesday, you looked at take-away
More informationThe Human Fruit Machine
The Human Fruit Machine For Fetes or Just Fun! This game of chance is good on so many levels. It helps children with maths, such as probability, statistics & addition. As well as how to raise money at
More informationGames in Extensive Form, Backward Induction, and Subgame Perfection:
Econ 460 Game Theory Assignment 4 Games in Extensive Form, Backward Induction, Subgame Perfection (Ch. 14,15), Bargaining (Ch. 19), Finitely Repeated Games (Ch. 22) Games in Extensive Form, Backward Induction,
More informationMaking Predictions with Theoretical Probability
? LESSON 6.3 Making Predictions with Theoretical Probability ESSENTIAL QUESTION Proportionality 7.6.H Solve problems using qualitative and quantitative predictions and comparisons from simple experiments.
More information5. (1-25 M) How many ways can 4 women and 4 men be seated around a circular table so that no two women are seated next to each other.
A.Miller M475 Fall 2010 Homewor problems are due in class one wee from the day assigned (which is in parentheses. Please do not hand in the problems early. 1. (1-20 W A boo shelf holds 5 different English
More informationThe Problem. Tom Davis December 19, 2016
The 1 2 3 4 Problem Tom Davis tomrdavis@earthlink.net http://www.geometer.org/mathcircles December 19, 2016 Abstract The first paragraph in the main part of this article poses a problem that can be approached
More informationAdvanced Intermediate Algebra Chapter 12 Summary INTRO TO PROBABILITY
Advanced Intermediate Algebra Chapter 12 Summary INTRO TO PROBABILITY 1. Jack and Jill do not like washing dishes. They decide to use a random method to select whose turn it is. They put some red and blue
More informationStrategic Bargaining. This is page 1 Printer: Opaq
16 This is page 1 Printer: Opaq Strategic Bargaining The strength of the framework we have developed so far, be it normal form or extensive form games, is that almost any well structured game can be presented
More informationEC 308 Sample Exam Questions
EC 308 Sample Exam Questions 1. In the following game Sample Midterm 1 Multiple Choice Questions Player 2 l m r U 2,0 3,1 0,0 Player 1 M 1,1 2,2 1,2 D 3,2 2,2 2,1 (a) D dominates M for player 1 and therefore
More informationMGF 1107 FINAL EXAM REVIEW CHAPTER 9
MGF 1107 FINL EXM REVIEW HPTER 9 1. my (), etsy (), arla (), Doris (D), and Emilia (E) are candidates for an open Student Government seat. There are 110 voters with the preference lists below. 36 24 20
More informationChapter 2. Weighted Voting Systems. Sections 2 and 3. The Banzhaf Power Index
Chapter 2. Weighted Voting Systems Sections 2 and 3. The Banzhaf Power Index John Banzhaf is an attorney and law professor. In 1965, his analysis of the power in the Nassau County NY Board of Supervisors
More informationMATH 351 Fall 2009 Homework 1 Due: Wednesday, September 30
MATH 51 Fall 2009 Homework 1 Due: Wednesday, September 0 Problem 1. How many different letter arrangements can be made from the letters BOOKKEEPER. This is analogous to one of the problems presented in
More information1\2 L m R M 2, 2 1, 1 0, 0 B 1, 0 0, 0 1, 1
Chapter 1 Introduction Game Theory is a misnomer for Multiperson Decision Theory. It develops tools, methods, and language that allow a coherent analysis of the decision-making processes when there are
More informationGame Theory and Algorithms Lecture 19: Nim & Impartial Combinatorial Games
Game Theory and Algorithms Lecture 19: Nim & Impartial Combinatorial Games May 17, 2011 Summary: We give a winning strategy for the counter-taking game called Nim; surprisingly, it involves computations
More informationGame theory. Logic and Decision Making Unit 2
Game theory Logic and Decision Making Unit 2 Introduction Game theory studies decisions in which the outcome depends (at least partly) on what other people do All decision makers are assumed to possess
More informationAdvanced Microeconomics: Game Theory
Advanced Microeconomics: Game Theory P. v. Mouche Wageningen University 2018 Outline 1 Motivation 2 Games in strategic form 3 Games in extensive form What is game theory? Traditional game theory deals
More informationEnvy-free Chore Division for An Arbitrary Number of Agents
Envy-free Chore Division for An Arbitrary Number of Agents Sina Dehghani Alireza Farhadi MohammadTaghi HajiAghayi Hadi Yami Downloaded 02/12/18 to 128.8.120.3. Redistribution subject to SIAM license or
More informationSubtraction games with expandable subtraction sets
with expandable subtraction sets Bao Ho Department of Mathematics and Statistics La Trobe University Monash University April 11, 2012 with expandable subtraction sets Outline The game of Nim Nim-values
More informationYale University Department of Computer Science
LUX ETVERITAS Yale University Department of Computer Science Secret Bit Transmission Using a Random Deal of Cards Michael J. Fischer Michael S. Paterson Charles Rackoff YALEU/DCS/TR-792 May 1990 This work
More informationfinal examination on May 31 Topics from the latter part of the course (covered in homework assignments 4-7) include:
The final examination on May 31 may test topics from any part of the course, but the emphasis will be on topic after the first three homework assignments, which were covered in the midterm. Topics from
More informationExam 2 Sample Questions. Material for Exam 2 comes from Chapter G.1, G.2, G.3, and 14.1, 14.2
Math 1620 Exam 2 Sample Questions Material for Exam 2 comes from Chapter G.1, G.2, G.3, 3.1-3.7 and 14.1, 14.2 The exam will have 4 sections: Matching, Multiple Choice, Short Answer and one Logic Problem.
More informationPractice Session 2. HW 1 Review
Practice Session 2 HW 1 Review Chapter 1 1.4 Suppose we extend Evans s Analogy program so that it can score 200 on a standard IQ test. Would we then have a program more intelligent than a human? Explain.
More information19.3 Combinations and Probability
Name Class Date 19.3 Combinations and Probability Essential Question: What is the difference between a permutaion and a combination? Explore Finding the Number of Combinations A combination is a selection
More information