Robust Group Strategy-Proofness∗
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Lecture 4 Rationalizability & Nash Equilibrium Road
Lecture 4 Rationalizability & Nash Equilibrium 14.12 Game Theory Muhamet Yildiz Road Map 1. Strategies – completed 2. Quiz 3. Dominance 4. Dominant-strategy equilibrium 5. Rationalizability 6. Nash Equilibrium 1 Strategy A strategy of a player is a complete contingent-plan, determining which action he will take at each information set he is to move (including the information sets that will not be reached according to this strategy). Matching pennies with perfect information 2’s Strategies: HH = Head if 1 plays Head, 1 Head if 1 plays Tail; HT = Head if 1 plays Head, Head Tail Tail if 1 plays Tail; 2 TH = Tail if 1 plays Head, 2 Head if 1 plays Tail; head tail head tail TT = Tail if 1 plays Head, Tail if 1 plays Tail. (-1,1) (1,-1) (1,-1) (-1,1) 2 Matching pennies with perfect information 2 1 HH HT TH TT Head Tail Matching pennies with Imperfect information 1 2 1 Head Tail Head Tail 2 Head (-1,1) (1,-1) head tail head tail Tail (1,-1) (-1,1) (-1,1) (1,-1) (1,-1) (-1,1) 3 A game with nature Left (5, 0) 1 Head 1/2 Right (2, 2) Nature (3, 3) 1/2 Left Tail 2 Right (0, -5) Mixed Strategy Definition: A mixed strategy of a player is a probability distribution over the set of his strategies. Pure strategies: Si = {si1,si2,…,sik} σ → A mixed strategy: i: S [0,1] s.t. σ σ σ i(si1) + i(si2) + … + i(sik) = 1. If the other players play s-i =(s1,…, si-1,si+1,…,sn), then σ the expected utility of playing i is σ σ σ i(si1)ui(si1,s-i) + i(si2)ui(si2,s-i) + … + i(sik)ui(sik,s-i). -
A New Approach to Stable Matching Problems
August1 989 Report No. STAN-CS-89- 1275 A New Approach to Stable Matching Problems bY Ashok Subramanian Department of Computer Science Stanford University Stanford, California 94305 3 DISTRIBUTION /AVAILABILITY OF REPORT Unrestricted: Distribution Unlimited GANIZATION 1 1 TITLE (Include Securrty Clamfrcat!on) A New Approach to Stable Matching Problems 12 PERSONAL AUTHOR(S) Ashok Subramanian 13a TYPE OF REPORT 13b TtME COVERED 14 DATE OF REPORT (Year, Month, Day) 15 PAGE COUNT FROM TO August 1989 34 16 SUPPLEMENTARY NOTATION 17 COSATI CODES 18 SUBJECT TERMS (Contrnue on reverse If necessary and jdentrfy by block number) FIELD GROUP SUB-GROUP 19 ABSTRACT (Continue on reverse if necessary and identrfy by block number) Abstract. We show that Stable Matching problems are the same as problems about stable config- urations of X-networks. Consequences include easy proofs of old theorems, a new simple algorithm for finding a stable matching, an understanding of the difference between Stable Marriage and Stable Roommates, NTcompleteness of Three-party Stable Marriage, CC-completeness of several Stable Matching problems, and a fast parallel reduction from the Stable Marriage problem to the ’ Assignment problem. 20 DISTRIBUTION /AVAILABILITY OF ABSTRACT 21 ABSTRACT SECURITY CLASSIFICATION q UNCLASSIFIED/UNLIMITED 0 SAME AS Rf’T 0 DTIC USERS 22a NAME OF RESPONSIBLE INDIVIDUAL 22b TELEPHONE (Include Area Code) 22c OFFICE SYMBOL Ernst Mavr DD Form 1473, JUN 86 Prevrous edrtions are obsolete SECURITY CLASSIFICATION OF TYS PAGt . 1 , S/N 0102-LF-014-6603 \ \ ““*5 - - A New Approach to Stable Matching Problems * Ashok Subramanian Department of Computer Science St anford University Stanford, CA 94305-2140 Abstract. -
Stability and Median Rationalizability for Aggregate Matchings
games Article Stability and Median Rationalizability for Aggregate Matchings Federico Echenique 1, SangMok Lee 2, Matthew Shum 1 and M. Bumin Yenmez 3,* 1 Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA 91125, USA; [email protected] (F.E.); [email protected] (M.S.) 2 Department of Economics, Washington University in St. Louis, St. Louis, MO 63130, USA; [email protected] 3 Department of Economics, Boston College, Chestnut Hill, MA 02467, USA * Correspondence: [email protected] Abstract: We develop the theory of stability for aggregate matchings used in empirical studies and establish fundamental properties of stable matchings including the result that the set of stable matchings is a non-empty, complete, and distributive lattice. Aggregate matchings are relevant as matching data in revealed preference theory. We present a result on rationalizing a matching data as the median stable matching. Keywords: aggregate matching; median stable matching; rationalizability; lattice 1. Introduction Following the seminal work of [1], an extensive literature has developed regarding matching markets with non-transferable utility. This literature assumes that there are agent-specific preferences, and studies the existence of stable matchings in which each Citation: Echenique, F.; Lee, S.; agent prefers her assigned partner to the outside option of being unmatched, and there Shum, M.; Yenmez, M.B. Stability and are no pairs of agents that would like to match with each other rather than keeping their Median Rationalizability for assigned partners. Aggregate Matchings. Games 2021, 12, In this paper, we develop the theory of stability for aggregate matchings, which we 33. -
Rationalizable Implementation of Correspondences∗
Rationalizable Implementation of Correspondences∗ Takashi Kunimotoyand Roberto Serranoz This Version: May 2016 Abstract We come close to characterizing the class of social choice correspon- dences that are implementable in rationalizable strategies. We identify a new condition, which we call set-monotonicity, and show that it is necessary and almost sufficient for rationalizable implementation. Set-monotonicity is much weaker than Maskin monotonicity, which is the key condition for Nash implementation and which also had been shown to be necessary for rationalizable implementation of social choice functions. Set-monotonicity reduces to Maskin monotonicity in the case of functions. We conclude that the conditions for rationalizable implementation are not only starkly differ- ent from, but also much weaker than those for Nash implementation, when we consider social choice correspondences. JEL Classification: C72, D78, D82. Keywords: Complete information, implementation, Maskin monotonicity, rationalizability, set-monotonicity, social choice correspondence. 1 Introduction The design of institutions to be used by rational agents has been an important research agenda in economic theory. As captured by the notion of Nash equilib- rium, rationality is encapsulated in two aspects: these are (i) the best responses of agents to their beliefs, and (ii) that those beliefs are correct, the so-called rational ∗Financial support from the Japan Society for the Promotion of Science (24330078, 25780128) (Kunimoto) is gratefully acknowledged. All remaining errors are our own. ySchool of Economics, Singapore Management University, 90 Stamford Road, Singapore 178903; [email protected] zDepartment of Economics, Brown University, Providence, RI 02912, U.S.A.; roberto [email protected] 1 expectations assumption. One can drop the latter and retain the former, moving then into the realm of rationalizability. -
How to Win at Tic-Tac-Toe
More Than Child’s Play How to Get N in a Row Games with Animals Hypercube Tic-Tac-Toe How to Win at Tic-Tac-Toe Norm Do Undoubtably, one of the most popular pencil and paper games in the world is tic-tac-toe, also commonly known as noughts and crosses. In this talk, you will learn how to beat your friends (at tic-tac-toe), discover why snaky is so shaky, and see the amazing tic-tac-toe playing chicken! March 2007 Norm Do How to Win at Tic-Tac-Toe Tic-Tac-Toe is popular: You’ve all played it while sitting at the back of a boring class. In fact, some of you are probably playing it right now! Tic-Tac-Toe is boring: People who are mildly clever should never lose. More Than Child’s Play How to Get N in a Row Some Facts About Tic-Tac-Toe Games with Animals Games to Beat your Friends With Hypercube Tic-Tac-Toe Some facts about tic-tac-toe Tic-Tac-Toe is old: It may have been played under the name of “terni lapilli” in Ancient Rome. Norm Do How to Win at Tic-Tac-Toe Tic-Tac-Toe is boring: People who are mildly clever should never lose. More Than Child’s Play How to Get N in a Row Some Facts About Tic-Tac-Toe Games with Animals Games to Beat your Friends With Hypercube Tic-Tac-Toe Some facts about tic-tac-toe Tic-Tac-Toe is old: It may have been played under the name of “terni lapilli” in Ancient Rome. -
The Roommate Problem Revisited
Department of Economics- FEA/USP The Roommate Problem Revisited MARILDA SOTOMAYOR WORKING PAPER SERIES Nº 2016-04 DEPARTMENT OF ECONOMICS, FEA-USP WORKING PAPER Nº 2016-04 The Roommate Problem Revisited Marilda Sotomayor ([email protected]) Abstract: We approach the roommate problem by focusing on simple matchings, which are those individually rational matchings whose blocking pairs, if any, are formed with unmatched agents. We show that the core is non-empty if and only if no simple and unstable matching is Pareto optimal among all simple matchings. The economic intuition underlying this condition is that blocking can be done so that the transactions at any simple and unstable matching need not be undone, as agents reach the core. New properties of economic interest are proved. Keywords: Core; stable matching . JEL Codes: C78; D78. THE ROOMMATE PROBLEM REVISITED by MARILDA SOTOMAYOR1 Department of Economics Universidade de São Paulo, Cidade Universitária, Av. Prof. Luciano Gualberto 908 05508-900, São Paulo, SP, Brazil e-mail: [email protected] 7/2005 ABSTRACT We approach the roommate problem by focusing on simple matchings, which are those individually rational matchings whose blocking pairs, if any, are formed with unmatched agents. We show that the core is non-empty if and only if no simple and unstable matching is Pareto optimal among all simple matchings. The economic intuition underlying this condition is that blocking can be done so that the transactions at any simple and unstable matching need not be undone, as agents reach the core. New properties of economic interest are proved. Keywords: core, stable matching JEL numbers: C78, D78 1 This paper is partially supported by CNPq-Brazil. -
Fractional Hedonic Games
Fractional Hedonic Games HARIS AZIZ, Data61, CSIRO and UNSW Australia FLORIAN BRANDL, Technical University of Munich FELIX BRANDT, Technical University of Munich PAUL HARRENSTEIN, University of Oxford MARTIN OLSEN, Aarhus University DOMINIK PETERS, University of Oxford The work we present in this paper initiated the formal study of fractional hedonic games, coalition formation games in which the utility of a player is the average value he ascribes to the members of his coalition. Among other settings, this covers situations in which players only distinguish between friends and non-friends and desire to be in a coalition in which the fraction of friends is maximal. Fractional hedonic games thus not only constitute a natural class of succinctly representable coalition formation games, but also provide an interesting framework for network clustering. We propose a number of conditions under which the core of fractional hedonic games is non-empty and provide algorithms for computing a core stable outcome. By contrast, we show that the core may be empty in other cases, and that it is computationally hard in general to decide non-emptiness of the core. 1 INTRODUCTION Hedonic games present a natural and versatile framework to study the formal aspects of coalition formation which has received much attention from both an economic and an algorithmic perspective. This work was initiated by Drèze and Greenberg[1980], Banerjee et al . [2001], Cechlárová and Romero-Medina[2001], and Bogomolnaia and Jackson[2002] and has sparked a lot of follow- up work. A recent survey was provided by Aziz and Savani[2016]. In hedonic games, coalition formation is approached from a game-theoretic angle. -
4 Social Interactions
Beta September 2015 version 4 SOCIAL INTERACTIONS Les Joueurs de Carte, Paul Cézanne, 1892-95, Courtauld Institute of Art A COMBINATION OF SELF-INTEREST, A REGARD FOR THE WELLBEING OF OTHERS, AND APPROPRIATE INSTITUTIONS CAN YIELD DESIRABLE SOCIAL OUTCOMES WHEN PEOPLE INTERACT • Game theory is a way of understanding how people interact based on the constraints that limit their actions, their motives and their beliefs about what others will do • Experiments and other evidence show that self-interest, a concern for others and a preference for fairness are all important motives explaining how people interact • In most interactions there is some conflict of interest between people, and also some opportunity for mutual gain • The pursuit of self-interest can lead either to results that are considered good by all participants, or sometimes to outcomes that none of those concerned would prefer • Self-interest can be harnessed for the general good in markets by governments limiting the actions that people are free to take, and by one’s peers imposing punishments on actions that lead to bad outcomes • A concern for others and for fairness allows us to internalise the effects of our actions on others, and so can contribute to good social outcomes See www.core-econ.org for the full interactive version of The Economy by The CORE Project. Guide yourself through key concepts with clickable figures, test your understanding with multiple choice questions, look up key terms in the glossary, read full mathematical derivations in the Leibniz supplements, watch economists explain their work in Economists in Action – and much more. -
15 Hedonic Games Haris Azizaand Rahul Savanib
Draft { December 5, 2014 15 Hedonic Games Haris Azizaand Rahul Savanib 15.1 Introduction Coalitions are a central part of economic, political, and social life, and coalition formation has been studied extensively within the mathematical social sciences. Agents (be they humans, robots, or software agents) have preferences over coalitions and, based on these preferences, it is natural to ask which coalitions are expected to form, and which coalition structures are better social outcomes. In this chapter, we consider coalition formation games with hedonic preferences, or simply hedonic games. The outcome of a coalition formation game is a partitioning of the agents into disjoint coalitions, which we will refer to synonymously as a partition or coalition structure. The defining feature of hedonic preferences is that every agent only cares about which agents are in its coalition, but does not care how agents in other coali- tions are grouped together (Dr`ezeand Greenberg, 1980). Thus, hedonic preferences completely ignore inter-coalitional dependencies. Despite their relative simplicity, hedonic games have been used to model many interesting settings, such as research team formation (Alcalde and Revilla, 2004), scheduling group activities (Darmann et al., 2012), formation of coalition governments (Le Breton et al., 2008), cluster- ings in social networks (see e.g., Aziz et al., 2014b; McSweeney et al., 2014; Olsen, 2009), and distributed task allocation for wireless agents (Saad et al., 2011). Before we give a formal definition of a hedonic game, we give a standard hedonic game from the literature that we will use as a running example (see e.g., Banerjee et al. -
Solution Concepts in Cooperative Game Theory
1 A. Stolwijk Solution Concepts in Cooperative Game Theory Master’s Thesis, defended on October 12, 2010 Thesis Advisor: dr. F.M. Spieksma Mathematisch Instituut, Universiteit Leiden 2 Contents 1 Introduction 7 1.1 BackgroundandAims ................................. 7 1.2 Outline .......................................... 8 2 The Model: Some Basic Concepts 9 2.1 CharacteristicFunction .............................. ... 9 2.2 Solution Space: Transferable and Non-Transferable Utilities . .......... 11 2.3 EquivalencebetweenGames. ... 12 2.4 PropertiesofSolutions............................... ... 14 3 Comparing Imputations 15 3.1 StrongDomination................................... 15 3.1.1 Properties of Strong Domination . 17 3.2 WeakDomination .................................... 19 3.2.1 Properties of Weak Domination . 20 3.3 DualDomination..................................... 22 3.3.1 Properties of Dual Domination . 23 4 The Core 25 4.1 TheCore ......................................... 25 4.2 TheDualCore ...................................... 27 4.2.1 ComparingtheCorewiththeDualCore. 29 4.2.2 Strong ǫ-Core................................... 30 5 Nash Equilibria 33 5.1 Strict Nash Equilibria . 33 5.2 Weak Nash Equilibria . 36 3 4 CONTENTS 6 Stable Sets 39 6.1 DefinitionofStableSets ............................... .. 39 6.2 Stability in A′ ....................................... 40 6.3 ConstructionofStronglyStableSets . ...... 41 6.3.1 Explanation of the Strongly Stable Set: The Standard of Behavior in the 3-personzero-sumgame ............................ -
Uncertainty Aversion in Game Theory: Experimental Evidence
Uncertainty Aversion in Game Theory: Experimental Evidence Evan M. Calford∗ Purdue University Economics Department Working Paper No. 1291 April 2017 Abstract This paper experimentally investigates the role of uncertainty aversion in normal form games. Theoretically, risk aversion will affect the utility value assigned to realized outcomes while am- biguity aversion affects the evaluation of strategies. In practice, however, utilities over outcomes are unobservable and the effects of risk and ambiguity are confounded. This paper introduces a novel methodology for identifying the effects of risk and ambiguity preferences on behavior in games in a laboratory environment. Furthermore, we also separate the effects of a subject's be- liefs over her opponent's preferences from the effects of her own preferences. The results support the conjecture that both preferences over uncertainty and beliefs over opponent's preferences affect behavior in normal form games. Keywords: Ambiguity Aversion, Game Theory, Experimental Economics, Preferences JEL codes: C92, C72, D81, D83 ∗Department of Economics, Krannert School of Management, Purdue University [email protected]; I am partic- ularly indebted to Yoram Halevy, who introduced me to the concept of ambiguity aversion and guided me throughout this project. Ryan Oprea provided terrific support and advice throughout. Special thanks to Mike Peters and Wei Li are also warranted for their advice and guidance. I also thank Li Hao, Terri Kneeland, Chad Kendall, Tom Wilkening, Guillaume Frechette and Simon Grant for helpful comments and discussion. Funding from the University of British Columbia Faculty of Arts is gratefully acknowledged. 1 1 Introduction In a strategic interaction a rational agent must form subjective beliefs regarding their opponent's behavior. -
Games in Coalitional Form 1
GAMES IN COALITIONAL FORM EHUD KALAI Forthcoming in the New Palgrave Dictionary of Economics, second edition Abstract. How should a coalition of cooperating players allocate payo¤s to its members? This question arises in a broad range of situations and evokes an equally broad range of issues. For example, it raises technical issues in accounting, if the players are divisions of a corporation, but involves issues of social justice when the context is how people behave in society. Despite the breadth of possible applications, coalitional game theory o¤ers a uni…ed framework and solutions for addressing such questions. This brief survey presents some of its major models and proposed solutions. 1. Introduction In their seminal book, von Neumann and Morgenstern (1944) introduced two theories of games: strategic and coalitional. Strategic game theory concentrates on the selection of strategies by payo¤-maximizing players. Coalitional game theory concentrates on coalition formation and the distribution of payo¤s. The next two examples illustrate situations in the domain of the coalitional approach. 1.1. Games with no strategic structure. Example 1. Cost allocation of a shared facility. Three municipalities, E, W, and S, need to construct water puri…cation facilities. Costs of individual and joint facilities are described by the cost function c: c(E) = 20, c(W ) = 30, and c(S) = 50; c(E; W ) = 40, c(E; S) = 60, and c(W; S) = 80; c(E; W; S) = 80. For example, a facility that serves the needs of W and S would cost $80 million. The optimal solution is to build, at the cost of 80, one facility that serves all three municipalities.