Introduction to the Special Issue in Honor of Lloyd Shapley: Seven Topics in Game Theory1
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Introduction to Computational Social Choice
1 Introduction to Computational Social Choice Felix Brandta, Vincent Conitzerb, Ulle Endrissc, J´er^omeLangd, and Ariel D. Procacciae 1.1 Computational Social Choice at a Glance Social choice theory is the field of scientific inquiry that studies the aggregation of individual preferences towards a collective choice. For example, social choice theorists|who hail from a range of different disciplines, including mathematics, economics, and political science|are interested in the design and theoretical evalu- ation of voting rules. Questions of social choice have stimulated intellectual thought for centuries. Over time the topic has fascinated many a great mind, from the Mar- quis de Condorcet and Pierre-Simon de Laplace, through Charles Dodgson (better known as Lewis Carroll, the author of Alice in Wonderland), to Nobel Laureates such as Kenneth Arrow, Amartya Sen, and Lloyd Shapley. Computational social choice (COMSOC), by comparison, is a very young field that formed only in the early 2000s. There were, however, a few precursors. For instance, David Gale and Lloyd Shapley's algorithm for finding stable matchings between two groups of people with preferences over each other, dating back to 1962, truly had a computational flavor. And in the late 1980s, a series of papers by John Bartholdi, Craig Tovey, and Michael Trick showed that, on the one hand, computational complexity, as studied in theoretical computer science, can serve as a barrier against strategic manipulation in elections, but on the other hand, it can also prevent the efficient use of some voting rules altogether. Around the same time, a research group around Bernard Monjardet and Olivier Hudry also started to study the computational complexity of preference aggregation procedures. -
Stable Matching: Theory, Evidence, and Practical Design
THE PRIZE IN ECONOMIC SCIENCES 2012 INFORMATION FOR THE PUBLIC Stable matching: Theory, evidence, and practical design This year’s Prize to Lloyd Shapley and Alvin Roth extends from abstract theory developed in the 1960s, over empirical work in the 1980s, to ongoing efforts to fnd practical solutions to real-world prob- lems. Examples include the assignment of new doctors to hospitals, students to schools, and human organs for transplant to recipients. Lloyd Shapley made the early theoretical contributions, which were unexpectedly adopted two decades later when Alvin Roth investigated the market for U.S. doctors. His fndings generated further analytical developments, as well as practical design of market institutions. Traditional economic analysis studies markets where prices adjust so that supply equals demand. Both theory and practice show that markets function well in many cases. But in some situations, the standard market mechanism encounters problems, and there are cases where prices cannot be used at all to allocate resources. For example, many schools and universities are prevented from charging tuition fees and, in the case of human organs for transplants, monetary payments are ruled out on ethical grounds. Yet, in these – and many other – cases, an allocation has to be made. How do such processes actually work, and when is the outcome efcient? Matching theory The Gale-Shapley algorithm Analysis of allocation mechanisms relies on a rather abstract idea. If rational people – who know their best interests and behave accordingly – simply engage in unrestricted mutual trade, then the outcome should be efcient. If it is not, some individuals would devise new trades that made them better of. -
The Portfolio Optimization Performance During Malaysia's
Modern Applied Science; Vol. 14, No. 4; 2020 ISSN 1913-1844 E-ISSN 1913-1852 Published by Canadian Center of Science and Education The Portfolio Optimization Performance during Malaysia’s 2018 General Election by Using Noncooperative and Cooperative Game Theory Approach Muhammad Akram Ramadhan bin Ibrahim1, Pah Chin Hee1, Mohd Aminul Islam1 & Hafizah Bahaludin1 1Department of Computational and Theoretical Sciences Kulliyyah of Science International Islamic University Malaysia, 25200 Kuantan, Pahang, Malaysia Correspondence: Pah Chin Hee, Department of Computational and Theoretical Sciences, Kulliyyah of Science, International Islamic University Malaysia, 25200 Kuantan, Pahang, Malaysia. Received: February 10, 2020 Accepted: February 28, 2020 Online Published: March 4, 2020 doi:10.5539/mas.v14n4p1 URL: https://doi.org/10.5539/mas.v14n4p1 Abstract Game theory approach is used in this study that involves two types of games which are noncooperative and cooperative. Noncooperative game is used to get the equilibrium solutions from each payoff matrix. From the solutions, the values then be used as characteristic functions of Shapley value solution concept in cooperative game. In this paper, the sectors are divided into three groups where each sector will have three different stocks for the game. This study used the companies that listed in Bursa Malaysia and the prices of each stock listed in this research obtained from Datastream. The rate of return of stocks are considered as an input to get the payoff from each stock and its coalition sectors. The value of game for each sector is obtained using Shapley value solution concepts formula to find the optimal increase of the returns. The Shapley optimal portfolio, naive diversification portfolio and market portfolio performances have been calculated by using Sharpe ratio. -
Introduction to Computational Social Choice Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang, Ariel D
Introduction to Computational Social Choice Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang, Ariel D. Procaccia To cite this version: Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang, Ariel D. Procaccia. Introduction to Computational Social Choice. Felix Brandt, Vincent Conitzer, Ulle Endriss, Jérôme Lang, Ariel D. Procaccia, Handbook of Computational Social Choice, Cambridge University Press, pp.1-29, 2016, 9781107446984. 10.1017/CBO9781107446984. hal-01493516 HAL Id: hal-01493516 https://hal.archives-ouvertes.fr/hal-01493516 Submitted on 21 Mar 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. 1 Introduction to Computational Social Choice Felix Brandta, Vincent Conitzerb, Ulle Endrissc, J´er^omeLangd, and Ariel D. Procacciae 1.1 Computational Social Choice at a Glance Social choice theory is the field of scientific inquiry that studies the aggregation of individual preferences towards a collective choice. For example, social choice theorists|who hail from a range of different disciplines, including mathematics, economics, and political science|are interested in the design and theoretical evalu- ation of voting rules. Questions of social choice have stimulated intellectual thought for centuries. Over time the topic has fascinated many a great mind, from the Mar- quis de Condorcet and Pierre-Simon de Laplace, through Charles Dodgson (better known as Lewis Carroll, the author of Alice in Wonderland), to Nobel Laureates such as Kenneth Arrow, Amartya Sen, and Lloyd Shapley. -
ECONOMICS: the NEXT PHYSICAL SCIENCE? by J. Doyne Farmer
ECONOMICS: THE NEXT PHYSICAL SCIENCE? By J. Doyne Farmer, Martin Shubik and Eric Smith June 2005 COWLES FOUNDATION DISCUSSION PAPER NO. 1520 COWLES FOUNDATION FOR RESEARCH IN ECONOMICS YALE UNIVERSITY Box 208281 New Haven, Connecticut 06520-8281 http://cowles.econ.yale.edu/ Economics: the next physical science? J. Doyne Farmer,1 Martin Shubik,2 and Eric Smith1 1Santa Fe Institute, 1399 Hyde Park Rd., Santa Fe NM 87501 2Economics Department, Yale University, New Haven CT (Dated: June 9, 2005) We review an emerging body of work by physicists addressing questions of economic organization and function. We suggest that, beyond simply employing models familiar from physics to economic observables, remarkable regularities in economic data may suggest parts of social order that can usefully be incorporated into, and in turn can broaden, the conceptual structure of physics. Contents physics departments specializing in econophysics. There is even a new annual research prize, titled the “Young I. Physics and economics 1 Scientist Award for Social and Econophysics”. Is this just a fad, or is there something more substantial here? II. Data analysis and the search for empirical regularitiesIf physicists2 want to do research in economics, why don’t they just get degrees in economics in the first place? Why don’t the econophysicists retool, find jobs in eco- III. Modeling the behavior of agents 4 nomics departments and publish in traditional economics journals? Perhaps this is just a temporary phenomenon, IV. The quest for simple models of non-rational choicedriven4 by a generation of physicists who made a bad ca- reer choice. Is there any reason why research in eco- nomics should be done in physics departments as an on- V. -
3 Nobel Laureates to Honor UCI's Duncan Luce
3 Nobel laureates to honor UCI’s Duncan Luce January 25th, 2008 by grobbins Three recent winners of the Nobel Prize in economics will visit UC Irvine today and Saturday to honor mathematician-psychologist Duncan Luce, who shook the economics world 50 years ago with a landmark book on game theory. Game theory is the mathematical study of conflict and interaction among people. Luce and his co-author, Howard Raiffa, laid out some of the most basic principles and insights about the field in their book, “Games and Decisions: Introductions and Critical Survey.” That book, and seminal equations Luce later wrote that helped explain and predict a wide range of human behavior, including decision-making involving risk, earned him the National Medal of Science, which he received from President Bush in 2005. (See photo.) UCI mathematican Don Saari put together a celebratory conference to honor both Luce and Raiffa, and he recruited some of the world’s best-known economic scientists. It’s one of the largest such gatherings since UCI hosted 17 Nobel laureates in October 1996. “Luce and Raiffa’s book has been tremendously influential and we wanted to honor them,” said Saari, a member of the National Academy of Sciences. Luce said Thursday night, “This is obviously very flattering, and it’s amazing that the book is sufficiently alive that people would want to honor it.” The visitors scheduled to attended the celebratory conference include: Thomas Schelling, who won the 2005 Nobel in economics for his research on game theory Roger Myerson and Eric Maskin, who shared the 2007 Nobel in economics for their work in design theory. -
Chemical Game Theory
Chemical Game Theory Jacob Kautzky Group Meeting February 26th, 2020 What is game theory? Game theory is the study of the ways in which interacting choices of rational agents produce outcomes with respect to the utilities of those agents Why do we care about game theory? 11 nobel prizes in economics 1994 – “for their pioneering analysis of equilibria in the thoery of non-cooperative games” John Nash Reinhard Selten John Harsanyi 2005 – “for having enhanced our understanding of conflict and cooperation through game-theory” Robert Aumann Thomas Schelling Why do we care about game theory? 2007 – “for having laid the foundatiouns of mechanism design theory” Leonid Hurwicz Eric Maskin Roger Myerson 2012 – “for the theory of stable allocations and the practice of market design” Alvin Roth Lloyd Shapley 2014 – “for his analysis of market power and regulation” Jean Tirole Why do we care about game theory? Mathematics Business Biology Engineering Sociology Philosophy Computer Science Political Science Chemistry Why do we care about game theory? Plato, 5th Century BCE Initial insights into game theory can be seen in Plato’s work Theories on prisoner desertions Cortez, 1517 Shakespeare’s Henry V, 1599 Hobbes’ Leviathan, 1651 Henry orders the French prisoners “burn the ships” executed infront of the French army First mathematical theory of games was published in 1944 by John von Neumann and Oskar Morgenstern Chemical Game Theory Basics of Game Theory Prisoners Dilemma Battle of the Sexes Rock Paper Scissors Centipede Game Iterated Prisoners Dilemma -
War Gaming in the Information Age—Theory and Purpose Paul Bracken
Naval War College Review Volume 54 Article 6 Number 2 Spring 2001 War Gaming in the Information Age—Theory and Purpose Paul Bracken Martin Shubik Follow this and additional works at: https://digital-commons.usnwc.edu/nwc-review Recommended Citation Bracken, Paul and Shubik, Martin (2001) "War Gaming in the Information Age—Theory and Purpose," Naval War College Review: Vol. 54 : No. 2 , Article 6. Available at: https://digital-commons.usnwc.edu/nwc-review/vol54/iss2/6 This Article is brought to you for free and open access by the Journals at U.S. Naval War College Digital Commons. It has been accepted for inclusion in Naval War College Review by an authorized editor of U.S. Naval War College Digital Commons. For more information, please contact [email protected]. Bracken and Shubik: War Gaming in the Information Age—Theory and Purpose WAR GAMING IN THE INFORMATION AGE Theory and Purpose Paul Bracken and Martin Shubik ver twenty years ago, a study was carried out under the sponsorship of the ODefense Advanced Research Projects Agency and in collaboration with the General Accounting Office to survey and critique the models, simulations, and war games then in use by the Department of Defense.1 From some points of view, twenty years ago means ancient history; changes in communication tech- nology and computers since then can be measured Paul Bracken, professor of management and of political science at Yale University, specializes in national security only in terms of orders of magnitudes. The new world and management issues. He is the author of Command of the networked battlefield, super-accurate weapons, and Control of Nuclear Forces (1983) and of Fire in the and the information technology (IT) revolution, with its East: The Rise of Asian Military Power and the Second Nuclear Age (HarperCollins, 1999). -
Chronology of Game Theory
Chronology of Game Theory http://www.econ.canterbury.ac.nz/personal_pages/paul_walker/g... Home | UC Home | Econ. Department | Chronology of Game Theory | Nobel Prize A Chronology of Game Theory by Paul Walker September 2012 | Ancient | 1700 | 1800 | 1900 | 1950 | 1960 | 1970 | 1980 | 1990 | Nobel Prize | 2nd Nobel Prize | 3rd Nobel Prize | 0-500AD The Babylonian Talmud is the compilation of ancient law and tradition set down during the first five centuries A.D. which serves as the basis of Jewish religious, criminal and civil law. One problem discussed in the Talmud is the so called marriage contract problem: a man has three wives whose marriage contracts specify that in the case of this death they receive 100, 200 and 300 respectively. The Talmud gives apparently contradictory recommendations. Where the man dies leaving an estate of only 100, the Talmud recommends equal division. However, if the estate is worth 300 it recommends proportional division (50,100,150), while for an estate of 200, its recommendation of (50,75,75) is a complete mystery. This particular Mishna has baffled Talmudic scholars for two millennia. In 1985, it was recognised that the Talmud anticipates the modern theory of cooperative games. Each solution corresponds to the nucleolus of an appropriately defined game. 1713 In a letter dated 13 November 1713 Francis Waldegrave provided the first, known, minimax mixed strategy solution to a two-person game. Waldegrave wrote the letter, about a two-person version of the card game le Her, to Pierre-Remond de Montmort who in turn wrote to Nicolas Bernoulli, including in his letter a discussion of the Waldegrave solution. -
How to Build an Institution
POSXXX10.1177/0048393120971545Philosophy of the Social Sciencevan Basshuysen 971545research-article2020 Article Philosophy of the Social Sciences 1 –24 How to Build an © The Author(s) 2020 Institution https://doi.org/10.1177/0048393120971545Article reuse guidelines: sagepub.com/journals-permissions DOI: 10.1177/0048393120971545 journals.sagepub.com/home/pos Philippe van Basshuysen1 Abstract How should institutions be designed that “work” in bringing about desirable social outcomes? I study a case of successful institutional design—the redesign of the National Resident Matching Program—and argue that economists assume three roles when designing an institution, each of which complements the other two: first, the designer combines positive and normative modeling to formalize policy goals and to design possible mechanisms for bringing them about. Second, the engineer refines the design by conducting experiments and computational analyses. Third, the plumber implements the design in the real world and mends it as needed. Keywords economic design, engineering, plumbing, normative modeling, algorithmic bias 1. Introduction Economists increasingly aspire to create or change institutions in order to bring about desirable social outcomes. While this field of economic design is growing, philosophers of social science have to date focused on a single case, namely the design of the early spectrum auctions conducted by the Federal Communications Commission (FCC) (Alexandrova 2008; Guala 2005). But by focusing on one case only, they have fallen short of providing a general Received 11 October 2020 1Leibniz University Hannover, Hannover, Germany Corresponding Author: Philippe van Basshuysen, Leibniz University Hannover, Im Moore 21, 30167 Hannover, Germany. Email: [email protected] 2 Philosophy of the Social Sciences 00(0) account of the practice of economic design. -
Economics 200C
Economics 206, Decisions Winter 2007 Vincent Crawford Economics 319, 534-3452, [email protected] Organization: Economics 206 meets from 11:00-12:20 on Mondays and Wednesdays, January 8 through March 14 (university holidays January 15 and February 19 excepted), in Economics 210. My office hours throughout the quarter will be Wednesdays from 2:00-3:00 or by appointment. The course website is http://weber.ucsd.edu/~vcrawfor/econ206.html. The first half (approximately) will cover standard topics in the traditional theory of decisions. The second half will cover topics in behavioral decision theory. Instead of a final exam there will be two take-home mini-exams, one for each half. You must work on these individually, without consulting anyone but me. The first mini-exam will be posted on the website by 4 p.m. Wednesday, February 7, and due by email or in the course mailbox in Economics Student Services by 4 p.m. Friday, February 9. The second mini- exam will be posted by 4 p.m. Wednesday, March 14, and due by email or in the course mailbox by 4 p.m. Friday, March 16 (the last day of classes). The 48-hour time limits are a humanitarian gesture, and should not be binding. The dates are firm except for extreme unforeseeable events, in which case exceptions must be requested as soon as possible. I will also post optional problem sets, which should be good practice for the exams, before each segment. The second exam will include a flexible essay question on behavioral decision theory, which will be posted by the second half. -
An Introduction to Game Theory
An Introduction to Game Theory E.N.Barron Supported by NSF DMS-1008602 Department of Mathematics and Statistics, Loyola University Chicago April 2013 Zero Sum Games Non Zero Sum Games Cooperative Games Game Theory Nobel Prize winners Lloyd Shapley 2012 Alvin Roth 2012 Roger B. Myerson 2007 Leonid Hurwicz 2007 Eric S. Maskin 2007 Robert J. Aumann 2005 Thomas C. Schelling 2005 William Vickrey 1996 Robert E. Lucas Jr. 1995 John C. Harsanyi 1994 John F. Nash Jr. 1994 Reinhard Selten 1994 Kenneth J. Arrow 1972 Paul A. Samuelson 1970 Barron Game Theory Zero Sum Games Non Zero Sum Games Cooperative Games Zero Sum Games{John von Neumann The rules, the game: I made a game effort to argue but two things were against me: the umpires and the rules.{Leo Durocher Barron Game Theory Zero Sum Games Non Zero Sum Games Cooperative Games Zero Sum Games In a simplified analysis of a football game suppose that the offense can only choose a pass or run, and the defense can choose only to defend a pass or run. Here is the matrix in which the payoffs are the average yards gained: Defense Offense Run Pass Run 1 8 Pass 10 0 The offense’s goal is to maximize the average yards gained per play. The defense wants to minimize it. Barron Game Theory Zero Sum Games Non Zero Sum Games Cooperative Games In the immortal words of mothers everywhere: You can't always get what you want{Rolling Stones. Barron Game Theory Zero Sum Games Non Zero Sum Games Cooperative Games Zero Sum Games Pure saddle point row i ∗, column j∗: aij∗ ≤ ai ∗j∗ ≤ ai ∗j ; for all i; j Defense Offense Run Pass Run 1 8 Pass 10 0 No PURE strategies as a saddle point: Largest in row and smallest in column{simultaneously.