CHAPTER 5 Coalition Formation
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Game Theory Lecture Notes
Game Theory: Penn State Math 486 Lecture Notes Version 2.1.1 Christopher Griffin « 2010-2021 Licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License With Major Contributions By: James Fan George Kesidis and Other Contributions By: Arlan Stutler Sarthak Shah Contents List of Figuresv Preface xi 1. Using These Notes xi 2. An Overview of Game Theory xi Chapter 1. Probability Theory and Games Against the House1 1. Probability1 2. Random Variables and Expected Values6 3. Conditional Probability8 4. The Monty Hall Problem 11 Chapter 2. Game Trees and Extensive Form 15 1. Graphs and Trees 15 2. Game Trees with Complete Information and No Chance 18 3. Game Trees with Incomplete Information 22 4. Games of Chance 24 5. Pay-off Functions and Equilibria 26 Chapter 3. Normal and Strategic Form Games and Matrices 37 1. Normal and Strategic Form 37 2. Strategic Form Games 38 3. Review of Basic Matrix Properties 40 4. Special Matrices and Vectors 42 5. Strategy Vectors and Matrix Games 43 Chapter 4. Saddle Points, Mixed Strategies and the Minimax Theorem 45 1. Saddle Points 45 2. Zero-Sum Games without Saddle Points 48 3. Mixed Strategies 50 4. Mixed Strategies in Matrix Games 53 5. Dominated Strategies and Nash Equilibria 54 6. The Minimax Theorem 59 7. Finding Nash Equilibria in Simple Games 64 8. A Note on Nash Equilibria in General 66 Chapter 5. An Introduction to Optimization and the Karush-Kuhn-Tucker Conditions 69 1. A General Maximization Formulation 70 2. Some Geometry for Optimization 72 3. -
Strong Stackelberg Reasoning in Symmetric Games: an Experimental
Strong Stackelberg reasoning in symmetric games: An experimental ANGOR UNIVERSITY replication and extension Pulford, B.D.; Colman, A.M.; Lawrence, C.L. PeerJ DOI: 10.7717/peerj.263 PRIFYSGOL BANGOR / B Published: 25/02/2014 Publisher's PDF, also known as Version of record Cyswllt i'r cyhoeddiad / Link to publication Dyfyniad o'r fersiwn a gyhoeddwyd / Citation for published version (APA): Pulford, B. D., Colman, A. M., & Lawrence, C. L. (2014). Strong Stackelberg reasoning in symmetric games: An experimental replication and extension. PeerJ, 263. https://doi.org/10.7717/peerj.263 Hawliau Cyffredinol / General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. 23. Sep. 2021 Strong Stackelberg reasoning in symmetric games: An experimental replication and extension Briony D. Pulford1, Andrew M. Colman1 and Catherine L. Lawrence2 1 School of Psychology, University of Leicester, Leicester, UK 2 School of Psychology, Bangor University, Bangor, UK ABSTRACT In common interest games in which players are motivated to coordinate their strate- gies to achieve a jointly optimal outcome, orthodox game theory provides no general reason or justification for choosing the required strategies. -
Israel-Palestine Through the Lens of Game Theory
University of Massachusetts Amherst ScholarWorks@UMass Amherst Economics Department Working Paper Series Economics 2021 Land for peace? Israel-Palestine through the lens of game theory Amal Ahmad Department of Economics, University of Massachusetts Amherst Follow this and additional works at: https://scholarworks.umass.edu/econ_workingpaper Part of the Economics Commons Recommended Citation Ahmad, Amal, "Land for peace? Israel-Palestine through the lens of game theory" (2021). Economics Department Working Paper Series. 301. https://doi.org/10.7275/21792057 This Article is brought to you for free and open access by the Economics at ScholarWorks@UMass Amherst. It has been accepted for inclusion in Economics Department Working Paper Series by an authorized administrator of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. Land for peace? Israel-Palestine through the lens of game theory Amal Ahmad∗ February 2021 Abstract Why have Israel and the Palestinians failed to implement a \land for peace" solution, along the lines of the Oslo Accords? This paper studies the applica- tion of game theory to this question. I show that existing models of the conflict largely rely on unrealistic assumptions about what the main actors are trying to achieve. Specifically, they assume that Israel is strategically interested in withdrawing from the occupied territories pending resolvable security concerns but that it is obstructed from doing so by violent Palestinians with other objec- tives. I use historical analysis along with bargaining theory to shed doubt on this assumption, and to argue that the persistence of conflict has been aligned with, not contrary to, the interests of the militarily powerful party, Israel. -
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. -
Economics 201B Economic Theory (Spring 2021) Strategic Games
Economics 201B Economic Theory (Spring 2021) Strategic Games Topics: terminology and notations (OR 1.7), games and solutions (OR 1.1-1.3), rationality and bounded rationality (OR 1.4-1.6), formalities (OR 2.1), best-response (OR 2.2), Nash equilibrium (OR 2.2), 2 2 examples × (OR 2.3), existence of Nash equilibrium (OR 2.4), mixed strategy Nash equilibrium (OR 3.1, 3.2), strictly competitive games (OR 2.5), evolution- ary stability (OR 3.4), rationalizability (OR 4.1), dominance (OR 4.2, 4.3), trembling hand perfection (OR 12.5). Terminology and notations (OR 1.7) Sets For R, ∈ ≥ ⇐⇒ ≥ for all . and ⇐⇒ ≥ for all and some . ⇐⇒ for all . Preferences is a binary relation on some set of alternatives R. % ⊆ From % we derive two other relations on : — strict performance relation and not  ⇐⇒ % % — indifference relation and ∼ ⇐⇒ % % Utility representation % is said to be — complete if , or . ∀ ∈ % % — transitive if , and then . ∀ ∈ % % % % can be presented by a utility function only if it is complete and transitive (rational). A function : R is a utility function representing if → % ∀ ∈ () () % ⇐⇒ ≥ % is said to be — continuous (preferences cannot jump...) if for any sequence of pairs () with ,and and , . { }∞=1 % → → % — (strictly) quasi-concave if for any the upper counter set ∈ { ∈ : is (strictly) convex. % } These guarantee the existence of continuous well-behaved utility function representation. Profiles Let be a the set of players. — () or simply () is a profile - a collection of values of some variable,∈ one for each player. — () or simply is the list of elements of the profile = ∈ { } − () for all players except . ∈ — ( ) is a list and an element ,whichistheprofile () . -
On Some Winning Strategies for the Iterated Prisoner's Dilemma Or Mr
Chapter 1 On some winning strategies for the Iterated Prisoner’s Dilemma or Mr. Nice Guy and the Cosa Nostra Wolfgang Slany Wolfgang Kienreich Technical University Know-Center Graz, Austria Graz, Austria [email protected] [email protected] We submitted two kinds of strategies to the iterated prisoner’s dilemma (IPD) competitions organized by Graham Kendall, Paul Darwen and Xin Yao in 2004 and 20051. Our strategies performed exceedingly well in both years. One type is an intelligent and optimistic enhanced version of the well known TitForTat strategy which we named OmegaTitForTat. It recognizes common behaviour patterns and detects and recovers from repairable mutual defect deadlock situations, otherwise behaving much like TitForTat. OmegaTitForTat was placed as the first or second individual strategy in both competitions in the leagues in which it took part. The second type consists of a set of strategies working together as a team. The call for participation of the competitions explicitly stated that cooperative strategies would be allowed to participate. This allowed a form of implicit communication which is not in keeping with the original IPD idea, but represents a natural extension to the study of cooperative behaviour in reality as it is aimed at through the study of the simple, yet 1 See http://www.prisoners-dilemma.com/ for more details. 1 2 Book Title insightful, iterated prisoner’s dilemma model. Indeed, one’s behaviour towards another person in reality is very often influenced by one’s relation to the other person. In particular, we submitted three sets of strategies that work together as groups. -
Order and Containment in Concurrent System Design Copyright Fall 2000
Order and Containment in Concurrent System Design Copyright Fall 2000 by John Sidney Davis II 1 Abstract Order and Containment in Concurrent System Design by John Sidney Davis II Doctor of Philosophy in Engineering-Electrical Engineering and Computer Science University of California at Berkeley Professor Edward A. Lee, Chair This dissertation considers the dif®culty of modeling and designing complex, concurrent systems. The term concurrent is used here to mean a system consisting of a network of commu- nicating components. The term complex is used here to mean a system consisting of components with different models of computation such that the communication between different components has different semantics according to the respective interacting models of computation. Modeling and designing a concurrent system requires a clear understanding of the types of relationships that exist between the components found within a concurrent system. Two partic- ularly important types of relationships found in concurrent systems are the order relation and the containment relation. The order relation represents the relative timing of component actions within a concurrent system. The containment relation facilitates human understanding of a system by ab- stracting a system's components into layers of visibility. The consequence of improper management of the order and containment relationships in a complex, concurrent system is deadlock. Deadlock is an undesirable halting of a system's execution and is the most challenging type of concurrent system error to debug. The contents of this disserta- tion show that no methodology is currently available that can concisely, accurately and graphically 2 model both the order and containment relations found in complex, concurrent systems. -
ECONS 424 – STRATEGY and GAME THEORY MIDTERM EXAM #2 – Answer Key
ECONS 424 – STRATEGY AND GAME THEORY MIDTERM EXAM #2 – Answer key Exercise #1. Hawk-Dove game. Consider the following payoff matrix representing the Hawk-Dove game. Intuitively, Players 1 and 2 compete for a resource, each of them choosing to display an aggressive posture (hawk) or a passive attitude (dove). Assume that payoff > 0 denotes the value that both players assign to the resource, and > 0 is the cost of fighting, which only occurs if they are both aggressive by playing hawk in the top left-hand cell of the matrix. Player 2 Hawk Dove Hawk , , 0 2 2 − − Player 1 Dove 0, , 2 2 a) Show that if < , the game is strategically equivalent to a Prisoner’s Dilemma game. b) The Hawk-Dove game commonly assumes that the value of the resource is less than the cost of a fight, i.e., > > 0. Find the set of pure strategy Nash equilibria. Answer: Part (a) • When Player 2 (in columns) chooses Hawk (in the left-hand column), Player 1 (in rows) receives a positive payoff of by paying Hawk, which is higher than his payoff of zero from playing Dove. − Therefore, for Player2 1 Hawk is a best response to Player 2 playing Hawk. Similarly, when Player 2 chooses Dove (in the right-hand column), Player 1 receives a payoff of by playing Hawk, which is higher than his payoff from choosing Dove, ; entailing that Hawk is Player 1’s best response to Player 2 choosing Dove. Therefore, Player 1 chooses2 Hawk as his best response to all of Player 2’s strategies, implying that Hawk is a strictly dominant strategy for Player 1. -
Managing Coopetition: Is Transparency a Fallacy Or a Mandatory Condition? a Case Study of a Coopetition Project with an Opportunistic Partner
XXVIe Conférence Internationale de Management Stratégique Managing coopetition: Is transparency a fallacy or a mandatory condition? A case study of a coopetition project with an opportunistic partner Sea Matilda Bez Université de Montpellier (MOMA) et Université Paris-Dauphine (PSL) [email protected] Frédéric Le Roy Université de Montpellier (MOMA) et Montpellier Business School [email protected] Stéphanie Dameron Université Paris-Dauphine (PSL) [email protected] Abstract : We investigate why and how knowledge transparency between competitors are needed for radical innovation. Previous scholars considered that coopetition (i.e. collaboration between competing firms) could not be a suitable strategy. Knowledge transparency invites opportunism. Thus, even for a radical innovation purpose, being highly transparent with a competitor is a fallacy. Our research goes beyond this specific approach of coopetition and reveals that firms can preserve transparency even if the partners behave opportunistically. We develop counter-intuitive propositions based on a conceptual discussion followed by insight from an extreme case study of a pharmaceutical company opening its innovation project to a competitor who behaves opportunistically (i.e. the Plavix). Our study mainly highlights that firms need to fight against the intuitive reaction of reducing transparency when the partner behaves opportunistically. Reducing the transparency inevitably leads to “shooting itself in the foot” because the reduction of transparency of one partner leads to the destruction of any possibility to create a radical innovation. Moreover, our research represents interesting guidelines for top managers by : (1) confirming that coopetition strategies are relevant in addressing the challenges of radical innovation, and (2) highlighting a specific organization design to manage transparency in a coopetitive project. -
Introduction to Game Theory I
Introduction to Game Theory I Presented To: 2014 Summer REU Penn State Department of Mathematics Presented By: Christopher Griffin [email protected] 1/34 Types of Game Theory GAME THEORY Classical Game Combinatorial Dynamic Game Evolutionary Other Topics in Theory Game Theory Theory Game Theory Game Theory No time, doesn't contain differential equations Notion of time, may contain differential equations Games with finite or Games with no Games with time. Modeling population Experimental / infinite strategy space, chance. dynamics under Behavioral Game but no time. Games with motion or competition Theory Generally two player a dynamic component. Games with probability strategic games Modeling the evolution Voting Theory (either induced by the played on boards. Examples: of strategies in a player or the game). Optimal play in a dog population. Examples: Moves change the fight. Chasing your Determining why Games with coalitions structure of a game brother across a room. Examples: altruism is present in or negotiations. board. The evolution of human society. behaviors in a group of Examples: Examples: animals. Determining if there's Poker, Strategic Chess, Checkers, Go, a fair voting system. Military Decision Nim. Equilibrium of human Making, Negotiations. behavior in social networks. 2/34 Games Against the House The games we often see on television fall into this category. TV Game Shows (that do not pit players against each other in knowledge tests) often require a single player (who is, in a sense, playing against The House) to make a decision that will affect only his life. Prize is Behind: 1 2 3 Choose Door: 1 2 3 1 2 3 1 2 3 Switch: Y N Y N Y N Y N Y N Y N Y N Y N Y N Win/Lose: L W W L W L W L L W W L W L W L L W The Monty Hall Problem Other games against the house: • Blackjack • The Price is Right 3/34 Assumptions of Multi-Player Games 1. -
Arxiv:Quant-Ph/0702167V2 30 Jan 2013
Quantum Game Theory Based on the Schmidt Decomposition Tsubasa Ichikawa∗ and Izumi Tsutsui† Institute of Particle and Nuclear Studies High Energy Accelerator Research Organization (KEK) Tsukuba 305-0801, Japan and Taksu Cheon‡ Laboratory of Physics Kochi University of Technology Tosa Yamada, Kochi 782-8502, Japan Abstract We present a novel formulation of quantum game theory based on the Schmidt de- composition, which has the merit that the entanglement of quantum strategies is manifestly quantified. We apply this formulation to 2-player, 2-strategy symmetric games and obtain a complete set of quantum Nash equilibria. Apart from those available with the maximal entanglement, these quantum Nash equilibria are ex- arXiv:quant-ph/0702167v2 30 Jan 2013 tensions of the Nash equilibria in classical game theory. The phase structure of the equilibria is determined for all values of entanglement, and thereby the possibility of resolving the dilemmas by entanglement in the game of Chicken, the Battle of the Sexes, the Prisoners’ Dilemma, and the Stag Hunt, is examined. We find that entanglement transforms these dilemmas with each other but cannot resolve them, except in the Stag Hunt game where the dilemma can be alleviated to a certain degree. ∗ email: [email protected] † email: [email protected] ‡ email: [email protected] 1. Introduction Quantum game theory, which is a theory of games with quantum strategies, has been attracting much attention among quantum physicists and economists in recent years [1, 2] (for a review, see [2, 3, 4]). There are basically two reasons for this. One is that quantum game theory provides a general basis to treat the quantum information processing and quantum communication in which plural actors try to achieve their objectives such as the increase in communication efficiency and security [5, 6]. -
Deadlock on the Board
Deadlock on the Board Jason Roderick Donaldson Washington University in St. Louis and CEPR Nadya Malenko Boston College, CEPR, and ECGI Giorgia Piacentino Downloaded from https://academic.oup.com/rfs/article/33/10/4445/5716335 by guest on 16 September 2020 Columbia University, CEPR, and NBER We develop a dynamic model of board decision-making akin to dynamic voting models in the political economy literature. We show a board could retain a policy all directors agree is worse than an available alternative. Thus, directors may retain a CEO they agree is bad—deadlocked boards lead to entrenched CEOs. We explore how to compose boards and appoint directors to mitigate deadlock. We find board diversity and long director tenure can exacerbate deadlock. We rationalize why CEOs and incumbent directors have power to appoint new directors: to avoid deadlock. Our model speaks to short-termism, staggered boards, and proxy access. (JEL G34, D72, D74) Received May 29, 2018; editorial decision November 10, 2019 by Editor Itay Goldstein. The board of directors is the highest decision-making authority in a corporation. But sometimes boards struggle to make decisions. In surveys, 67% of directors report the inability to decide about some issues in the boardroom. Moreover, 30% say they have encountered a boardroom dispute threatening the very For helpful comments, we thank two anonymous referees and the Editor (Itay Goldstein) as well as Renée Adams, Ulf Axelson, Ilona Babenko, Patrick Bolton, Archishman Chakraborty, Gilles Chemla, Francesca Cornelli, Alex