War, Peace and the Size of Countries
Total Page:16
File Type:pdf, Size:1020Kb

Load more
Recommended publications
-
Game Theory 2: Extensive-Form Games and Subgame Perfection
Game Theory 2: Extensive-Form Games and Subgame Perfection 1 / 26 Dynamics in Games How should we think of strategic interactions that occur in sequence? Who moves when? And what can they do at different points in time? How do people react to different histories? 2 / 26 Modeling Games with Dynamics Players Player function I Who moves when Terminal histories I Possible paths through the game Preferences over terminal histories 3 / 26 Strategies A strategy is a complete contingent plan Player i's strategy specifies her action choice at each point at which she could be called on to make a choice 4 / 26 An Example: International Crises Two countries (A and B) are competing over a piece of land that B occupies Country A decides whether to make a demand If Country A makes a demand, B can either acquiesce or fight a war If A does not make a demand, B keeps land (game ends) A's best outcome is Demand followed by Acquiesce, worst outcome is Demand and War B's best outcome is No Demand and worst outcome is Demand and War 5 / 26 An Example: International Crises A can choose: Demand (D) or No Demand (ND) B can choose: Fight a war (W ) or Acquiesce (A) Preferences uA(D; A) = 3 > uA(ND; A) = uA(ND; W ) = 2 > uA(D; W ) = 1 uB(ND; A) = uB(ND; W ) = 3 > uB(D; A) = 2 > uB(D; W ) = 1 How can we represent this scenario as a game (in strategic form)? 6 / 26 International Crisis Game: NE Country B WA D 1; 1 3X; 2X Country A ND 2X; 3X 2; 3X I Is there something funny here? I Is there something funny here? I Specifically, (ND; W )? I Is there something funny here? -
The Economics of Defense Contracting: Incentives and Performance
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Research Papers in Economics This PDF is a selection from an out-of-print volume from the National Bureau of Economic Research Volume Title: Issues in Defense Economics Volume Author/Editor: Roland N. McKean, editor Volume Publisher: NBER Volume ISBN: 0-87014-490-1 Volume URL: http://www.nber.org/books/mcke67-1 Publication Date: 1967 Chapter Title: The Economics of Defense Contracting: Incentives and Performance Chapter Author: Oliver E. Williamson Chapter URL: http://www.nber.org/chapters/c5165 Chapter pages in book: (p. 217 - 278) The Economics of Defense Contracting.' Incentives and Performance OLIVER E. WILLIAMSON UNIVERSITY OF PENNSYLVANIA My purpose in this paper is to examine current practices and trends in defense contracting with a view to establishing what factors are re- sponsible for the performance results obtained and how improved per- formance might be secured. In particular, I will emphasize the incen- tives that are experienced by defense contractors and government con- tracting agencies in negotiating and executing defense contracts. My analysis of these relations leads me to conclude that neither the manipula- tion of profit incentives .nor the monitoring of contract progress can be expected, in any dependable sense, to yield significant improvements in contract performance as long as the specification of the task remains unchanged. From a contractual point of view at least, the "systems approach" to weapons procurement which has prevailed since 1953 1 appearsto be distinctly suboptimal. Whether this is true when viewed more generally will not be a principal concern of mine here, although this issue will be considered at least tangentially in my concluding re- marks. -
Lecture Notes
GRADUATE GAME THEORY LECTURE NOTES BY OMER TAMUZ California Institute of Technology 2018 Acknowledgments These lecture notes are partially adapted from Osborne and Rubinstein [29], Maschler, Solan and Zamir [23], lecture notes by Federico Echenique, and slides by Daron Acemoglu and Asu Ozdaglar. I am indebted to Seo Young (Silvia) Kim and Zhuofang Li for their help in finding and correcting many errors. Any comments or suggestions are welcome. 2 Contents 1 Extensive form games with perfect information 7 1.1 Tic-Tac-Toe ........................................ 7 1.2 The Sweet Fifteen Game ................................ 7 1.3 Chess ............................................ 7 1.4 Definition of extensive form games with perfect information ........... 10 1.5 The ultimatum game .................................. 10 1.6 Equilibria ......................................... 11 1.7 The centipede game ................................... 11 1.8 Subgames and subgame perfect equilibria ...................... 13 1.9 The dollar auction .................................... 14 1.10 Backward induction, Kuhn’s Theorem and a proof of Zermelo’s Theorem ... 15 2 Strategic form games 17 2.1 Definition ......................................... 17 2.2 Nash equilibria ...................................... 17 2.3 Classical examples .................................... 17 2.4 Dominated strategies .................................. 22 2.5 Repeated elimination of dominated strategies ................... 22 2.6 Dominant strategies .................................. -
Implementation Theory*
Chapter 5 IMPLEMENTATION THEORY* ERIC MASKIN Institute for Advanced Study, Princeton, NJ, USA TOMAS SJOSTROM Department of Economics, Pennsylvania State University, University Park, PA, USA Contents Abstract 238 Keywords 238 1. Introduction 239 2. Definitions 245 3. Nash implementation 247 3.1. Definitions 248 3.2. Monotonicity and no veto power 248 3.3. Necessary and sufficient conditions 250 3.4. Weak implementation 254 3.5. Strategy-proofness and rich domains of preferences 254 3.6. Unrestricted domain of strict preferences 256 3.7. Economic environments 257 3.8. Two agent implementation 259 4. Implementation with complete information: further topics 260 4.1. Refinements of Nash equilibrium 260 4.2. Virtual implementation 264 4.3. Mixed strategies 265 4.4. Extensive form mechanisms 267 4.5. Renegotiation 269 4.6. The planner as a player 275 5. Bayesian implementation 276 5.1. Definitions 276 5.2. Closure 277 5.3. Incentive compatibility 278 5.4. Bayesian monotonicity 279 * We are grateful to Sandeep Baliga, Luis Corch6n, Matt Jackson, Byungchae Rhee, Ariel Rubinstein, Ilya Segal, Hannu Vartiainen, Masahiro Watabe, and two referees, for helpful comments. Handbook of Social Choice and Welfare, Volume 1, Edited by K.J Arrow, A.K. Sen and K. Suzumura ( 2002 Elsevier Science B. V All rights reserved 238 E. Maskin and T: Sj'str6m 5.5. Non-parametric, robust and fault tolerant implementation 281 6. Concluding remarks 281 References 282 Abstract The implementation problem is the problem of designing a mechanism (game form) such that the equilibrium outcomes satisfy a criterion of social optimality embodied in a social choice rule. -
Collusion Constrained Equilibrium
Theoretical Economics 13 (2018), 307–340 1555-7561/20180307 Collusion constrained equilibrium Rohan Dutta Department of Economics, McGill University David K. Levine Department of Economics, European University Institute and Department of Economics, Washington University in Saint Louis Salvatore Modica Department of Economics, Università di Palermo We study collusion within groups in noncooperative games. The primitives are the preferences of the players, their assignment to nonoverlapping groups, and the goals of the groups. Our notion of collusion is that a group coordinates the play of its members among different incentive compatible plans to best achieve its goals. Unfortunately, equilibria that meet this requirement need not exist. We instead introduce the weaker notion of collusion constrained equilibrium. This al- lows groups to put positive probability on alternatives that are suboptimal for the group in certain razor’s edge cases where the set of incentive compatible plans changes discontinuously. These collusion constrained equilibria exist and are a subset of the correlated equilibria of the underlying game. We examine four per- turbations of the underlying game. In each case,we show that equilibria in which groups choose the best alternative exist and that limits of these equilibria lead to collusion constrained equilibria. We also show that for a sufficiently broad class of perturbations, every collusion constrained equilibrium arises as such a limit. We give an application to a voter participation game that shows how collusion constraints may be socially costly. Keywords. Collusion, organization, group. JEL classification. C72, D70. 1. Introduction As the literature on collective action (for example, Olson 1965) emphasizes, groups often behave collusively while the preferences of individual group members limit the possi- Rohan Dutta: [email protected] David K. -
Implementation and Strong Nash Equilibrium
LIBRARY OF THE MASSACHUSETTS INSTITUTE OF TECHNOLOGY Digitized by the Internet Archive in 2011 with funding from Boston Library Consortium Member Libraries http://www.archive.org/details/implementationstOOmask : } ^mm working paper department of economics IMPLEMENTATION AND STRONG NASH EQUILIBRIUM Eric Maskin Number 216 January 1978 massachusetts institute of technology 50 memorial drive Cambridge, mass. 021 39 IMPLEMENTATION AND STRONG NASH EQUILIBRIUM Eric Maskin Number 216 January 1978 I am grateful for the financial support of the National Science Foundation. A social choice correspondence (SCC) is a mapping which assoc- iates each possible profile of individuals' preferences with a set of feasible alternatives (the set of f-optima) . To implement *n SCC, f, is to construct a game form g such that, for all preference profiles the equilibrium set of g (with respect to some solution concept) coincides with the f-optimal set. In a recent study [1], I examined the general question of implementing social choice correspondences when Nash equilibrium is the solution concept. Nash equilibrium, of course, is a strictly noncooperative notion, and so it is natural to consider the extent to which the results carry over when coalitions can form. The cooperative counterpart of Nash is the strong equilibrium due to Aumann. Whereas Nash defines equilibrium in terms of deviations only by single individuals, Aumann 's equilibrium incorporates deviations by every conceivable coalition. This paper considers implementation for strong equilibrium. The results of my previous paper were positive. If an SCC sat- isfies a monotonicity property and a much weaker requirement called no veto power, it can be implemented by Nash equilibrium. -
Nash Equilibrium
Lecture 3: Nash equilibrium Nash equilibrium: The mathematician John Nash introduced the concept of an equi- librium for a game, and equilibrium is often called a Nash equilibrium. They provide a way to identify reasonable outcomes when an easy argument based on domination (like in the prisoner's dilemma, see lecture 2) is not available. We formulate the concept of an equilibrium for a two player game with respective 0 payoff matrices PR and PC . We write PR(s; s ) for the payoff for player R when R plays 0 s and C plays s, this is simply the (s; s ) entry the matrix PR. Definition 1. A pair of strategies (^sR; s^C ) is an Nash equilbrium for a two player game if no player can improve his payoff by changing his strategy from his equilibrium strategy to another strategy provided his opponent keeps his equilibrium strategy. In terms of the payoffs matrices this means that PR(sR; s^C ) ≤ P (^sR; s^C ) for all sR ; and PC (^sR; sC ) ≤ P (^sR; s^C ) for all sc : The idea at work in the definition of Nash equilibrium deserves a name: Definition 2. A strategy s^R is a best-response to a strategy sc if PR(sR; sC ) ≤ P (^sR; sC ) for all sR ; i.e. s^R is such that max PR(sR; sC ) = P (^sR; sC ) sR We can now reformulate the idea of a Nash equilibrium as The pair (^sR; s^C ) is a Nash equilibrium if and only ifs ^R is a best-response tos ^C and s^C is a best-response tos ^R. -
Lecture Notes
Chapter 12 Repeated Games In real life, most games are played within a larger context, and actions in a given situation affect not only the present situation but also the future situations that may arise. When a player acts in a given situation, he takes into account not only the implications of his actions for the current situation but also their implications for the future. If the players arepatient andthe current actionshavesignificant implications for the future, then the considerations about the future may take over. This may lead to a rich set of behavior that may seem to be irrational when one considers the current situation alone. Such ideas are captured in the repeated games, in which a "stage game" is played repeatedly. The stage game is repeated regardless of what has been played in the previous games. This chapter explores the basic ideas in the theory of repeated games and applies them in a variety of economic problems. As it turns out, it is important whether the game is repeated finitely or infinitely many times. 12.1 Finitely-repeated games Let = 0 1 be the set of all possible dates. Consider a game in which at each { } players play a "stage game" , knowing what each player has played in the past. ∈ Assume that the payoff of each player in this larger game is the sum of the payoffsthat he obtains in the stage games. Denote the larger game by . Note that a player simply cares about the sum of his payoffs at the stage games. Most importantly, at the beginning of each repetition each player recalls what each player has 199 200 CHAPTER 12. -
Military Expenditures and Economic Growth in Turkey
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Bilkent University Institutional Repository MILITARY EXPENDITURES AND ECONOMIC GROWTH IN TURKEY The Institute of Economics and Social Sciences of Bilkent University by ÖMÜR CANDAR In Partial Fulfillment of the Requirements for the Degree of Master of Business Administration in THE DEPARTMENT OF MANAGEMENT BİLKENT UNIVERSITY ANKARA July 2003 I certify that I have read this thesis and that in my opinion it is fully adequate in scope and in quality, as a thesis for the degree of Master of Business Administration. Asst. Prof. Süheyla Özyıldırım I certify that I have read this thesis and that in my opinion it is fully adequate in scope and in quality, as a thesis for the degree of Master of Business Administration. Assoc. Prof. Jülide Yıldırım Öcal I certify that I have read this thesis and that in my opinion it is fully adequate in scope and in quality, as a thesis for the degree of Master of Business Administration. Asst. Prof. Levent Akdeniz Approval of the Institute of Economics and Social Sciences Prof. Dr. Kürşat Aydoğan ii ABSTRACT MILITARY EXPENDITURES AND ECONOMIC GROWTH IN TURKEY by Ömür Candar Supervisor: Asst. Prof. Süheyla Özyıldırım Department of Management July 2003 This study estimates the impact of military expenditures on economic growth in Turkey over the period of 1950-2001 by employing a cointegration analysis developed by Engle and Granger (1987). The model integrates some of the commonly used variables in defence economics models into a simple growth specification and allows the influences of the defence spending on economic growth to be revealed empirically. -
Strong Nash Equilibria and Mixed Strategies
Strong Nash equilibria and mixed strategies Eleonora Braggiona, Nicola Gattib, Roberto Lucchettia, Tuomas Sandholmc aDipartimento di Matematica, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133 Milano, Italy bDipartimento di Elettronica, Informazione e Bioningegneria, Politecnico di Milano, piazza Leonardo da Vinci 32, 20133 Milano, Italy cComputer Science Department, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA Abstract In this paper we consider strong Nash equilibria, in mixed strategies, for finite games. Any strong Nash equilibrium outcome is Pareto efficient for each coalition. First, we analyze the two–player setting. Our main result, in its simplest form, states that if a game has a strong Nash equilibrium with full support (that is, both players randomize among all pure strategies), then the game is strictly competitive. This means that all the outcomes of the game are Pareto efficient and lie on a straight line with negative slope. In order to get our result we use the indifference principle fulfilled by any Nash equilibrium, and the classical KKT conditions (in the vector setting), that are necessary conditions for Pareto efficiency. Our characterization enables us to design a strong–Nash– equilibrium–finding algorithm with complexity in Smoothed–P. So, this problem—that Conitzer and Sandholm [Conitzer, V., Sandholm, T., 2008. New complexity results about Nash equilibria. Games Econ. Behav. 63, 621–641] proved to be computationally hard in the worst case—is generically easy. Hence, although the worst case complexity of finding a strong Nash equilibrium is harder than that of finding a Nash equilibrium, once small perturbations are applied, finding a strong Nash is easier than finding a Nash equilibrium. -
Excerpt from the Proceedings of the Eighteenth Annual Acquisition Research Symposium
SYM-AM-21-074 Excerpt from the Proceedings of the Eighteenth Annual Acquisition Research Symposium How to Measure Value From Defence Spending? The Malaysian Case Study May 11–13, 2021 Published: May 10, 2021 Approved for public release; distribution is unlimited. Prepared for the Naval Postgraduate School, Monterey, CA 93943. Disclaimer: The views represented in this report are those of the author and do not reflect the official policy position of the Navy, the Department of Defense, or the federal government. Acquisition Research Program Graduate School of Defense Management Naval Postgraduate School The research presented in this report was supported by the Acquisition Research Program of the Graduate School of Defense Management at the Naval Postgraduate School. To request defense acquisition research, to become a research sponsor, or to print additional copies of reports, please contact any of the staff listed on the Acquisition Research Program website (www.acquisitionresearch.net). Acquisition Research Program Graduate School of Defense Management Naval Postgraduate School How to Measure Value From Defence Spending? The Malaysian Case Study Kogila Balakrishnan—is the Director for Client and Business Development (East Asia) at WMG, University of Warwick; Adjunct Professor at the Malaysian National Defence University; and the Former Under Secretary of the Department for Defence Industry, Ministry of Defence, Malaysia. He is the author of Technology Offsets in International Defence Procurement (Routledge, 2018). [[email protected]] Abstract More than ever, nations and their citizens demand clear evidence as to the benefits of defence spending and any subsequent value created. The opportunity cost of defence expenditure against other sectors is constantly queried, and the question of how to measure value remains highly contentious. -
On the Verification and Computation of Strong Nash Equilibrium
On the Verification and Computation of Strong Nash Equilibrium Nicola Gatti Marco Rocco Tuomas Sandholm Politecnico di Milano Politecnico di Milano Carnegie Mellon Piazza Leonardo da Vinci 32 Piazza Leonardo da Vinci 32 Computer Science Dep. Milano, Italy Milano, Italy 5000 Forbes Avenue [email protected] [email protected] Pittsburgh, PA 15213, USA [email protected] ABSTRACT The NE concept is inadequate when agents can a priori Computing equilibria of games is a central task in computer communicate, being in a position to form coalitions and de- science. A large number of results are known for Nash equi- viate multilaterally in a coordinated way. The strong Nash librium (NE). However, these can be adopted only when equilibrium (SNE) concept strengthens the NE concept by coalitions are not an issue. When instead agents can form requiring the strategy profile to be resilient also to multilat- coalitions, NE is inadequate and an appropriate solution eral deviations, including the grand coalition [2]. However, concept is strong Nash equilibrium (SNE). Few computa- differently from NE, an SNE may not exist. It is known tional results are known about SNE. In this paper, we first that searching for an SNE is NP–hard, but, except for the study the problem of verifying whether a strategy profile is case of two–agent symmetric games, it is not known whether an SNE, showing that the problem is in P. We then design the problem is in NP [8]. Furthermore, to the best of our a spatial branch–and–bound algorithm to find an SNE, and knowledge, there is no algorithm to find an SNE in general we experimentally evaluate the algorithm.