Sergiu HART PUBLICATIONS A. Book B. Books Edited C. Lecture Notes
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Three Puzzles on Mathematics, Computation, and Games
P. I. C. M. – 2018 Rio de Janeiro, Vol. 1 (551–606) THREE PUZZLES ON MATHEMATICS, COMPUTATION, AND GAMES G K Abstract In this lecture I will talk about three mathematical puzzles involving mathemat- ics and computation that have preoccupied me over the years. The first puzzle is to understand the amazing success of the simplex algorithm for linear programming. The second puzzle is about errors made when votes are counted during elections. The third puzzle is: are quantum computers possible? 1 Introduction The theory of computing and computer science as a whole are precious resources for mathematicians. They bring up new questions, profound new ideas, and new perspec- tives on classical mathematical objects, and serve as new areas for applications of math- ematics and mathematical reasoning. In my lecture I will talk about three mathematical puzzles involving mathematics and computation (and, at times, other fields) that have preoccupied me over the years. The connection between mathematics and computing is especially strong in my field of combinatorics, and I believe that being able to person- ally experience the scientific developments described here over the past three decades may give my description some added value. For all three puzzles I will try to describe in some detail both the large picture at hand, and zoom in on topics related to my own work. Puzzle 1: What can explain the success of the simplex algorithm? Linear program- ming is the problem of maximizing a linear function subject to a system of linear inequalities. The set of solutions to the linear inequalities is a convex polyhedron P . -
Matchings and Games on Networks
Matchings and games on networks by Linda Farczadi A thesis presented to the University of Waterloo in fulfilment of the thesis requirement for the degree of Doctor of Philosophy in Combinatorics and Optimization Waterloo, Ontario, Canada, 2015 c Linda Farczadi 2015 Author's Declaration I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. ii Abstract We investigate computational aspects of popular solution concepts for different models of network games. In chapter 3 we study balanced solutions for network bargaining games with general capacities, where agents can participate in a fixed but arbitrary number of contracts. We fully characterize the existence of balanced solutions and provide the first polynomial time algorithm for their computation. Our methods use a new idea of reducing an instance with general capacities to an instance with unit capacities defined on an auxiliary graph. This chapter is an extended version of the conference paper [32]. In chapter 4 we propose a generalization of the classical stable marriage problem. In our model the preferences on one side of the partition are given in terms of arbitrary bi- nary relations, that need not be transitive nor acyclic. This generalization is practically well-motivated, and as we show, encompasses the well studied hard variant of stable mar- riage where preferences are allowed to have ties and to be incomplete. Our main result shows that deciding the existence of a stable matching in our model is NP-complete. -
Three Puzzles on Mathematics Computations, and Games
January 5, 2019 17:43 icm-961x669 main-pr page 551 P. I. C. M. – 2018 Rio de Janeiro, Vol. 1 (551–606) THREE PUZZLES ON MATHEMATICS, COMPUTATION, AND GAMES G K Abstract In this lecture I will talk about three mathematical puzzles involving mathemat- ics and computation that have preoccupied me over the years. The first puzzle is to understand the amazing success of the simplex algorithm for linear programming. The second puzzle is about errors made when votes are counted during elections. The third puzzle is: are quantum computers possible? 1 Introduction The theory of computing and computer science as a whole are precious resources for mathematicians. They bring up new questions, profound new ideas, and new perspec- tives on classical mathematical objects, and serve as new areas for applications of math- ematics and mathematical reasoning. In my lecture I will talk about three mathematical puzzles involving mathematics and computation (and, at times, other fields) that have preoccupied me over the years. The connection between mathematics and computing is especially strong in my field of combinatorics, and I believe that being able to person- ally experience the scientific developments described here over the past three decades may give my description some added value. For all three puzzles I will try to describe in some detail both the large picture at hand, and zoom in on topics related to my own work. Puzzle 1: What can explain the success of the simplex algorithm? Linear program- ming is the problem of maximizing a linear function subject to a system of linear inequalities. -
Robert Aumann's Game and Economic Theory
Scand. J. of Economics 108(2), 185–211, 2006 DOI: 10.1111/j.1467-9442.2006.00448.x Robert Aumann’s Game and Economic Theory Sergiu Hart∗ Hebrew University, Jerusalem 91904, Israel [email protected] I. Introduction Robert J. Aumann has been a central figure in developing game theory and establishing its key role in modern economics. Aumann has shaped the field through his fundamental and pioneering work. His contributions during the past half century are profound—conceptually, and often also mathe- matically—and at the same time crystal clear, elegant and illuminating. Among Aumann’s main scientific contributions, three areas stand out: (i) Repeated Games: the study of long-term interactions and the account- ing for cooperative and other patterns of behavior in terms of the classical “selfish” utility-maximizing paradigm. (ii) Knowledge, Rationality and Equilibrium: the analysis of knowledge in multi-agent environments and the laying of the foundations of rationality and equilibrium. (iii) Perfect Competition: the modeling of perfect competition by a con- tinuum of agents and the relations between price equilibria and co- operative outcomes. The next three sections discuss each of these topics in turn (with special emphasis on the area of repeated games, the main topic for which Aumann was awarded the 2005 Nobel Memorial Prize in Economic Sciences). We conclude with a short overview of some of his other contributions. II. Repeated Games Most relationships between decision-makers last a long time. Competi- tion between firms in markets, insurance contracts, credit relationships and ∗ Partially supported by a grant of the Israel Science Foundation. -
Game Theory Michael Maschler, Eilon Solan and Shmuel Zamir Frontmatter More Information
Cambridge University Press 978-1-107-00548-8 - Game Theory Michael Maschler, Eilon Solan and Shmuel Zamir Frontmatter More information Game Theory Covering both noncooperative and cooperative games, this comprehensive introduction to game theory also includes some advanced chapters on auctions, games with incomplete information, games with vector payoffs, stable matchings, and the bargaining set. Mathematically oriented, the book presents every theorem alongside a proof. The material is presented clearly and every concept is illustrated with concrete examples from a broad range of disciplines. With numerous exercises the book is a thorough and extensive guide to game theory from undergraduate through graduate courses in economics, mathematics, computer science, engineering, and life sciences to being an authoritative reference for researchers. Michael Maschler was a professor in the Einstein Institute of Mathematics and the Center for the Study of Rationality at the Hebrew University of Jerusalem in Israel. He greatly contributed to cooperative game theory and to repeated games with incomplete information. Eilon Solan is a professor in the School of Mathematical Sciences at Tel Aviv University in Israel. The main topic of his research is repeated games. He serves on the editorial board of several academic journals. Shmuel Zamir is a professor emeritus in the Department of Statistics and the Center for the Study of Rationality at the Hebrew University of Jerusalem in Israel. The main topics of his research are games with incomplete information -
Game Theory, Alive Anna R
Game Theory, Alive Anna R. Karlin Yuval Peres 10.1090/mbk/101 Game Theory, Alive Game Theory, Alive Anna R. Karlin Yuval Peres AMERICAN MATHEMATICAL SOCIETY Providence, Rhode Island 2010 Mathematics Subject Classification. Primary 91A10, 91A12, 91A18, 91B12, 91A24, 91A43, 91A26, 91A28, 91A46, 91B26. For additional information and updates on this book, visit www.ams.org/bookpages/mbk-101 Library of Congress Cataloging-in-Publication Data Names: Karlin, Anna R. | Peres, Y. (Yuval) Title: Game theory, alive / Anna Karlin, Yuval Peres. Description: Providence, Rhode Island : American Mathematical Society, [2016] | Includes bibliographical references and index. Identifiers: LCCN 2016038151 | ISBN 9781470419820 (alk. paper) Subjects: LCSH: Game theory. | AMS: Game theory, economics, social and behavioral sciences – Game theory – Noncooperative games. msc | Game theory, economics, social and behavioral sciences – Game theory – Cooperative games. msc | Game theory, economics, social and behavioral sciences – Game theory – Games in extensive form. msc | Game theory, economics, social and behavioral sciences – Mathematical economics – Voting theory. msc | Game theory, economics, social and behavioral sciences – Game theory – Positional games (pursuit and evasion, etc.). msc | Game theory, economics, social and behavioral sciences – Game theory – Games involving graphs. msc | Game theory, economics, social and behavioral sciences – Game theory – Rationality, learning. msc | Game theory, economics, social and behavioral sciences – Game theory – Signaling, -
An Interview with Robert Aumann ∗
AN INTERVIEW WITH ROBERT AUMANN ∗ Interviewed by Sergiu Hart ∗∗ Who is Robert Aumann? Is he an economist or a mathematician? A rational scientist or a deeply religious man? A deep thinker or an easygoing person? These seemingly disparate qualities can all be found in Aumann; all are essential facets of his personality. A pure mathematician who is a renowned economist, he has been a central figure in developing game theory and establishing its key role in modern economics. He has shaped the field through his fundamental and pioneering work, work that is conceptually profound, and much of it also mathematically deep. He has greatly influenced and inspired many people: his students, collaborators, colleagues, and anyone who has been excited by reading his papers or listening to his talks. Aumann promotes a unified view of rational behavior, in many different disciplines: chiefly economics, but also political science, biology, computer science, and more. He has broken new ground in many areas, the most notable being perfect competition, repeated games, correlated equilibrium, interactive knowledge and rationality, and coalitions and cooperation. But Aumann is not just a theoretical scholar, closed in his ivory tower. He is interested in real-life phenomena and issues, to which he applies insights from his research. He is a devoutly religious man; and he is one of the founding fathers—and a central and most active member—of the multidisciplinary Center for the Study of Rationality at the Hebrew University in Jerusalem. Aumann enjoys skiing, mountain climbing, and cooking—no less than working out a complex economic question or proving a deep theorem. -
A Mathematical Bibliography of Signed and Gain Graphs and Allied Areas
A Mathematical Bibliography of Signed and Gain Graphs and Allied Areas Compiled by Thomas Zaslavsky Manuscript prepared with Marge Pratt Department of Mathematical Sciences Binghamton University Binghamton, New York, U.S.A. 13902-6000 E-mail: [email protected] Submitted: March 19, 1998; Accepted: July 20, 1998. Sixth Edition, Revision a 20 July 1998 Mathematical Subject Classications (1991): Primary 05-02, 05C99; Secondary 05B20, 05B25, 05B35, 05C10, 05C15, 05C20, 05C25, 05C30, 05C35, 05C38, 05C45, 05C50, 05C60, 05C65, 05C70, 05C75, 05C80, 05C85, 05C90, 05E25, 05E30, 06A07, 06A09, 05C10, 15A06, 15A15, 15A39, 15A99, 20B25, 20F55, 34C11, 51D20, 51E20, 52B12, 52B30, 52B40, 52C07, 68Q15, 68Q25, 68Q35, 68R10, 82B20, 82D30, 90A08, 90B10, 90C08, 90C27, 90C35, 90C60, 92D40, 92E10, 92H30, 92J10, 92K10, 94B25. Colleagues: HELP! If you have any suggestions whatever for items to include in this bibliography, or for other changes, please let me hear from you. Thank you. Typeset by AMS-TEX Index A1 H48 O83 V 110 B8 I59 P84 W 111 C20 J60 Q90 X 118 D28 K63 R90 Y 118 E32 L71 S94 Z 115 F36 M76 T104 G39 N82 U109 Preface A signed graph is a graph whose edges are labeled by signs. This is a bibliography of signed graphs and related mathematics. I regard as fundamental the notion of balance of a circuit (sign product equals +, the sign group identity) and the vertex-edge incidence matrix (whose column for a negative edge has two +1’s or two 1’s, for a positive edge one +1 and one 1, the rest being zero). Hence I have included work on gain graphs (where the edge labels are taken from any group) and “consistency” in vertex-signed or marked graphs (where the vertices are signed), and generalizable work on two-graphs (the set of unbalanced triangles of a signed complete graph) and on even and odd polygons and paths in graphs and digraphs. -
An Interview with Robert Aumann
Macroeconomic Dynamics, 9, 2005, 683–740. Printed in the United States of America. DOI: 10.1017.S1365100505050078 MD INTERVIEW AN INTERVIEW WITH ROBERT AUMANN Interviewed by Sergiu Hart The Hebrew University of Jerusalem January 2005 Who is Robert Aumann? Is he an economist or a mathematician? A rational scientist or a deeply religious man? A deep thinker or an easygoing person? These seemingly disparate qualities can all be found in Aumann; all are essen- tial facets of his personality. A pure mathematician who is a renowned economist, he has been a central figure in developing game theory and establishing its key role in modern economics. He has shaped the field through his fundamental and pioneering work, work that is conceptually profound, and much of it also mathematically deep. He has greatly influenced and inspired many people: his students, collaborators, colleagues, and anyone who has been excited by reading his papers or listening to his talks. Aumann promotes a unified view of rational behavior, in many different disci- plines: chiefly economics, but also political science, biology, computer science, and more. He has broken new ground in many areas, the most notable being per- fect competition, repeated games, correlated equilibrium, interactive knowledge and rationality, and coalitions and cooperation. But Aumann is not just a theoretical scholar, closed in his ivory tower. He is interested in real-life phenomena and issues, to which he applies insights from his research. He is a devoutly religious man; and he is one of the founding fathers— and a central and most active member—of the multidisciplinary Center for the Study of Rationality at the Hebrew University in Jerusalem. -
An Interview with Robert Aumann ∗
AN INTERVIEW WITH ROBERT AUMANN ∗ Interviewed by Sergiu Hart ∗∗ Who is Robert Aumann? Is he an economist or a mathematician? A rational scientist or a deeply religious man? A deep thinker or an easygoing person? These seemingly disparate qualities can all be found in Aumann; all are essential facets of his personality. A pure mathematician who is a renowned economist, he has been a central figure in developing game theory and establishing its key role in modern economics. He has shaped the field through his fundamental and pioneering work, work that is conceptually profound, and much of it also mathematically deep. He has greatly influenced and inspired many people: his students, collaborators, colleagues, and anyone who has been excited by reading his papers or listening to his talks. Aumann promotes a unified view of rational behavior, in many different disciplines: chiefly economics, but also political science, biology, computer science, and more. He has broken new ground in many areas, the most notable being perfect competition, repeated games, correlated equilibrium, interactive knowledge and rationality, and coalitions and cooperation. But Aumann is not just a theoretical scholar, closed in his ivory tower. He is interested in real-life phenomena and issues, to which he applies insights from his research. He is a devoutly religious man; and he is one of the founding fathers—and a central and most active member—of the multidisciplinary Center for the Study of Rationality at the Hebrew University in Jerusalem. Aumann enjoys skiing, mountain climbing, and cooking—no less than working out a complex economic question or proving a deep theorem. -
The Value of Mediated Communication Andrés Salamanca
The Value of Mediated Communication Andrés Salamanca To cite this version: Andrés Salamanca. The Value of Mediated Communication. 2016. hal-01289379v5 HAL Id: hal-01289379 https://hal.archives-ouvertes.fr/hal-01289379v5 Preprint submitted on 22 Aug 2019 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. The Value of Mediated Communication✩ Andr´es Salamanca1 Department of Business and Economics, University of Southern Denmark Abstract This paper characterizes optimal communication equilibria (which models mediation) in sender- receiver games. We assume that communication devices are designed to maximize the ex-ante welfare of the informed party (i.e., the sender). Communication equilibria are defined by a set of linear incentive constraints. The associated dual variables of these constraints yield shadow prices that are used to get “virtual utility functions” that intuitively characterize the signaling costs of incentive compatibility. A key result is a characterization of the value of an optimal communication equilibrium (value of mediation) from the concavification of the sender’s in- direct virtual utility function over prior beliefs. Using this result we provide necessary and sufficient conditions for a communication equilibrium to be optimal. An additional result estab- lishes a bound on the number of messages that the sender needs to convey in order to achieve the value of mediation. -
The Shapley Value
The Shapley value The Shapley value Essays in honor of Lloyd S. Shapley Edited by Alvin E. Roth The right of the University of Cambridge to print and sell a/I manner of books Henry VIII in 1534. i CAMBRIDGE UNIVERSITY PRESS Cambridge New York New Roche He Melbourne Sydney Published by the Press Syndicate of the University of Cambridge The Pitt Building, Trumpington Street, Cambridge CB2 1RP 32 East 57th Street, New York, NY 10022, USA 10 Stamford Road, Oakleigh, Melbourne 3166, Australia © Cambridge University Press 1988 First published 1988 Printed in the United States of America Library of Congress Cataloging-in-PublicationData The Shapley value : essays in honor of Lloyd S. Shapley / edited by Alvin E. Roth. p. cm. Bibliography: p. ISBN0-521-36177-X 1. Economics, Mathematical. 2. Game theory. 3. Shapley, Lloyd S., 1923- . I. Shapley, Lloyd S., 1923- . II. Roth, Alvin E., 1951- . HB144.S533 1988 330'.01'5193-dcl9131 88-2983 British Library Cataloging in Publication applied for. Contents Preface page vii 1 Introduction to the Shapley value 1 Alvin E. Roth 1 Ancestral papers 2 A value for n-person games 31 Lloyd S. Shapley 3 A method for evaluating the distribution of power in a committee system 41 Lloyd S. Shapley and Martin Shubik II Reformulations and generalizations 4 The expected utility of playing a game 51 Alvin E. Roth 5 The Shapley-Shubik and Banzhaf power indices as probabilities 71 Philip D. Straffln, Jr. 6 Weighted Shapley values 83 Ehud Kalai and Dov Samet 7 Probabilistic values for games 101 Robert James Weber 8 Combinatorial representations of the Shapley value based on average relative payoffs 121 Uriel G.