Exercise 11. Solution. EVOLUTION AND THE THEORY OF GAMES (Spring 2009) EXERCISES Show that every 2 2 matrix game with payoff matrix
|
|
- Elfreda Gray
- 5 years ago
- Views:
Transcription
1 EOLUTION AND THE THEORY OF GAMES (Spring 009) EXERCISES Exercise 11 Show that every matrix game with payoff matrix a,a c,b b,c d,d with a c or b d has at least one ESS. One should distinguish the following cases: If a > c then x 1 is an ESS. If d > b then x is an ESS. Suppose now a c and d b but with at least one strict inequality. In order to occur, by Bishop-Cannings, a mixed ESS requires x 1 p = a p + b (1 p) x p = c p + d (1 p) to be equal The hipotheses made on the utility guarantee x 1 p = x p p = b d b d + c a (0.1) 0 p 1 It remain to verify whether the ESS conditions are satisfied. The first is certainly not. Let J = (p, 1 p) the strategy satisfying Bishop-Cannings. Then for any other strategy I = (q, 1 q) the equality I J = q x 1 p +(1 q) x p = x 1 p = J J Hence the first ESS condition is not satified. The second ESS condition requires This means J I > I I J I = p x 1 q +(1 p) x q > q x 1 q +(1 q) x q = I I for any (q, 1 q). Unfolding the products and using the expression of (0.1) one gets into J I I I = (c a + b d)(p q) > 0 (0.) which proves that the second ESS condition is verified. 1
2 Exercise 1 Extend the Hawk-Dove game with a third strategy called Retaliator (R) who plays Dove against Dove but Hawk against Hawk. How does Retaliator play against itself? (There are several possibilities here.) Give the payoff matrix of the Hawk-Dove-Retaliator game and calculate all ESSs. We suppose that the retaliator plays Dove versus herself. The resulting payoff matrix is Hawk Dove Retaliator Hawk C C Dove 0 Retaliator C Note that as the game is symmetric it is sufficient to analyse the strategies of the row player. In order to find ESS conditions we need to look for symmetric Nash equilibria. Pure ESS s Suppose > C. In such a case Consider the Hawk vs Hawk game: U(H H) = C the first ESS condition is degenerate. The second requires = U(R H) (0.3) U(H R) = C > U(R R) = which is never satisfied (independently of the sign of C). The utility of the Dove vs Dove game satisfies (0.4) U(D D) = < = U(H D) (0.5) which invalidates both the first and the second ESS conditions (independently of the sign of C).
3 The of the Retaliator vs Retaliator game satisfies U(R R) = = = U(D R) U(R R) = > C = U(D R) (0.6) Hence we need to check the second ESS condition requiring U(R D) = > U(D D) = (0.7) which is false. No ESS independently of the sign of C. Suppose now < C: also in such a case no ESS is possible. The above analysis rules out pure ESS solutions. It remains to check the existence of mixed ESS solutions. Mixed ESS s Invoking Bishop-Cannings lemma we can construct a candidate ESS as solution of U p (H) = U(H H) p 1 + U(H D) p + U(H R) (1 p 1 p ) = w U p (D) = U(D H) p 1 + U(D D) p + U(D R) (1 p 1 p ) = w U p (R) = U(R H) p 1 + U(R D) p + U(R R) (1 p 1 p ) = w (0.8) The solution is p 1 = 0, p = C C +, w = (0.9) The second ESS requires then that for every q = (q 1, q, 1 q 1 q ) U q (H)p 1 + U q (D)p + U q (R)(1 p 1 p ) > U q (H) q 1 + U q (D) q + U q (R)(1 q 1 q ) (0.10) Inserting (0.9) one gets into q 1 C [( C) (q 1 + q ) C] (C + ) > 0 (0.11) For C > is semi-positive defined but vanishes for every q 1 = 0. The conclusion is that the second ESS condition does not hold also for mixed equilibria. Exercise 13 Extend the Hawk-Dove game with a third strategy called Bully (B) who plays Hawk against Dove but Dove against Hawk. How does Bully play against itself? (Again, there are multiple possibilities.) Give the payoff matrix of the Hawk-Dove-Bully game and calculate all ESSs. We analyse the game assuming that the Bully plays Dove against herself. 3
4 Hawk Dove Bully Hawk C Dove 0 0 Bully 0 Let us first inquire pure strategies. Pure ESS s Suppose > C. Consider the Hawk vs Hawk game. It satisfies the first ESS U(H H) = C > 0 = U(D H) = U(B H) (0.1) The Dove vs Dove cannot be an ESS U(D D) = < U(D H) (0.13) independently of the sign of C. The Bully vs Bully cannot either be an ESS as U(B B) = < = U(H B) (0.14) independently of the sign of C. If = C then Hawk vs Hawk fails to satisfy the first ESS condition. The second requires U(H D) = > = U(D D) & U(H R) = > = U(H R) (0.15) the second ESS is satisfied. if < C then Hawk vs Hawk is not an ESS. Mixed ESS s Let us now consider mixed ESS. 4
5 As the C condition guarantess that Hawk is an ESS, there cannot be a mixed strategy with worthwhile support on the Hawk strategy profile. However, if we eliminate the Hawk profile from the game the corresponding mixed strategy must satisfy U p (D) = p = w which is inconsistent.thus there cannot be an ESS. If < C then we can look for mixed strategies with full support The solution is U p (H) = C U p (B) = p + (1 p ) = w (0.16) U p (D) = p = w p 1 + p + (1 p 1 p ) = w U p (B) = p + (1 p 1 p ) = w (0.17) p 1 = 1, p = 1 C, w = C (0.18) which is not a consistent probability measure on the full support. On the other hand if we consider mixed ESS with non-full support. Using Bishop-Cannings we can look for a solution having support only on the Hawk-Bully strategy profiles The solution is U p (H) = C p 1 + (1 p 1 ) = w U p (B) = (1 p 1) = w (0.19) p = C Inserting in the first ESS condition we then get into & w = (C ) C (0.0) [U p (H)p 1 + U p (D)p + U p (R)(1 p 1 p )] p1 = C,p =0 [U p (H)q 1 + U p (D)q + U p (R)(1 q 1 q )] p1 = C,p =0 = (C ) q C which shows that degeneration occurs for (0.1) q = 0 (0.) The second ESS condition yields [U q (H)p 1 + U q (D)p + U q (R)(1 p 1 p )] p1 = C,p =0 [U q (H)q 1 + U q (D)q + U q (R)(1 q 1 q )] p1 = C,p =0 = ( C q 1) (0.3) 5
6 i.e. fails only for this means that q 1 = C p = [ C, 0, 1 ] C is an ESS. From the Hawk-Dove game we also know that a second mixed strategy profile exists for (0.4) (0.5) p = [ C, 1 C, 0] (0.6) Proceeding as indicated above it is straightforward to check that this is indeed the case. Exercise 14 Analyze the Retaliator-Bully game. We assume that once confronted with thenselves both Retaliator and Bully play Dove. In such a case we can assume that with equal probability the Bully Retaliator is an Hawk vs Hawk or a Dove vs Dove game. This choice is however arbitrary. Later in the course we will see that the natural way to model the Bully-Retaliator game is in the form of a multi-stage game where given an initial conditions Bully an Retaliator define deterministic algorithm to respond to the opponent strategy. Retaliator Retaliator Bully C Bully C In such a case we have > C 0 > C (0.7) which ensures that both the Retaliator and the Bully are ESS s when C >. The game is completely degenerate if = C. Finally if > C we can look for mixed ESS. with solution U p (R) = p 1 + C (1 p 1 ) = w U p (B) = C p 1 + (1 p 1) = w (0.8) p 1 = 1 & 6 w = 3 C 4 (0.9)
7 The second ESS condition for such a candidate mixed ESS yields U q (R) + U q (R) q U q (R) (1 q) U q (R) = ( C)(1 q) 4 which insures that the second ESS condition is ensured for the mixed ESS for > C. > 0 (0.30) Exercise 15 Animals can invest time and resources into growing weapons such as antlers etc. to improve their chances in a pairwise contest for some resource of value. Suppose that the individual with the biggest investment always wins. Give the payoff function and calculate all ESSs. What is the fundamental difference with the War of Attrition? Think about how a population of individuals with the same fixed level of investment would evolve if most of the time new mutants have about the same level of investment but sometimes a mutant appears with a largely different level of investment. u(t 1 t ) = α(t 1 ) if t 1 > t α(t 1) if t 1 = t α(t 1 ) if t 1 < t (0.31) with α a strictly monotonic function of time. To check the existence of ESS s we observe that Case of pure ESS. The inequality gives u(t t) > u(t s) t > s (0.3) > (0.33) which cannot be satisfied for > 0. In consequence we can rule out the existence of pure ESS unless we fix In such a case t 1 > t is not possible and yields the condition t 1 = 0 (0.34) u(0 0) > u(t s) s (0.35) > 0 (0.36) which is satisfied. So the only possible pure ESS is not to pay the cost of developing weapons. However this lead to certain defeat against armed opponents. 7
8 Mixed ESS. The Bishop-Cannings lemma gives for the candidate mixed ESS the equation i.e. U(t, [τ]) = t which rules out the existence of a mixed ESS. 0 ds [ α(t)] p τ (s) t ds α(t) p τ (s) (0.37) du dt = p τ (t) = 0 (0.38) 8
Game Theory -- Lecture 4. Patrick Loiseau EURECOM Fall 2016
Game Theory -- Lecture 4 Patrick Loiseau EURECOM Fall 2016 1 Lecture 2-3 recap Proved existence of pure strategy Nash equilibrium in games with compact convex action sets and continuous concave utilities
More informationApril 29, 2010 CHAPTER 13: EVOLUTIONARY EQUILIBRIUM
April 29, 200 CHAPTER : EVOLUTIONARY EQUILIBRIUM Some concepts from biology have been applied to game theory to define a type of equilibrium of a population that is robust against invasion by another type
More informationWeak Dominance and Never Best Responses
Chapter 4 Weak Dominance and Never Best Responses Let us return now to our analysis of an arbitrary strategic game G := (S 1,...,S n, p 1,...,p n ). Let s i, s i be strategies of player i. We say that
More informationOutline for today. Stat155 Game Theory Lecture 16: Evolutionary game theory. Evolutionarily stable strategies. Nash equilibrium.
Outline for today Stat155 Game Theory Lecture 16: Evolutionary game theory Peter Bartlett October 20, 2016 Nash equilibrium 1 / 21 2 / 21 A strategy profile x = (x1,..., x k ) S 1 Sk is a Nash equilibrium
More informationComputational Evolutionary Game Theory and why I m never using PowerPoint for another presentation involving maths ever again
Computational Evolutionary Game Theory and why I m never using PowerPoint for another presentation involving maths ever again Enoch Lau 5 September 2007 Outline What is evolutionary game theory? Why evolutionary
More informationGame Theory. Greg Plaxton Theory in Programming Practice, Spring 2004 Department of Computer Science University of Texas at Austin
Game Theory Greg Plaxton Theory in Programming Practice, Spring 2004 Department of Computer Science University of Texas at Austin Bimatrix Games We are given two real m n matrices A = (a ij ), B = (b ij
More informationAlgorithmic Game Theory and Applications. Lecture 4: 2-player zero-sum games, and the Minimax Theorem
Algorithmic Game Theory and Applications Lecture 4: 2-player zero-sum games, and the Minimax Theorem Kousha Etessami 2-person zero-sum games A finite 2-person zero-sum (2p-zs) strategic game Γ, is a strategic
More informationGame Theory and Evolution
Game Theory and Evolution Toban Wiebe University of Manitoba July 2012 Toban Wiebe (University of Manitoba) Game Theory and Evolution July 2012 1 / 24 Why does evolution need game theory? In what sense
More informationGames of Elimination
Dmitry Ilinsky, Sergei Izmalkov, Alexei Savvateev September 2010 HSE Overview Competition The driving force in economies and economics. Overview Competition The driving force in economies and economics.
More informationGame theory Lecture 19. Dynamic games. Game theory
Lecture 9. Dynamic games . Introduction Definition. A dynamic game is a game Γ =< N, x, {U i } n i=, {H i } n i= >, where N = {, 2,..., n} denotes the set of players, x (t) = f (x, u,..., u n, t), x(0)
More informationIntroduction to Game Theory Lecture Note 2: Strategic-Form Games and Nash Equilibrium (2)
Introduction to Game Theory Lecture Note 2: Strategic-Form Games and Nash Equilibrium (2) Haifeng Huang University of California, Merced Best response functions: example In simple games we can examine
More informationGame theory lecture 4. September 24, 2012
September 24, 2012 Finding Nash equilibrium Best-response or best-reply functions. We introduced Nash-equilibrium as a profile of actions (an action for each player) such that no player has an incentive
More informationGame Theory Fall 2003
Game Theory Fall 2003 Problem Set 1 [1] In this problem (see FT Ex. 1.1) you are asked to play with arbitrary 2 2 games just to get used to the idea of equilibrium computation. Specifically, consider the
More informationEvolutionary Games with Sequential Decisions and Dollar Auctions
DOI 10.1007/s13235-016-0212-4 Evolutionary Games with Sequential Decisions and Dollar Auctions Mark Broom 1 Jan Rychtář 2 The Author(s) 2016. This article is published with open access at Springerlink.com
More informationA Hawk-Dove game in kleptoparasitic populations
A Hawk-Dove game in kleptoparasitic populations Mark Broom, Department of Mathematics, University of Sussex, Brighton BN1 9RF, UK. M.Broom@sussex.ac.uk Roger M. Luther, Department of Mathematics, University
More informationLecture 6: April 25, 2006
Computational Game Theory Spring Semester, 2005/06 Lecture 6: April 25, 2006 Lecturer: Yishay Mansour Scribe: Lior Gavish, Andrey Stolyarenko, Asaph Arnon Partially based on scribe by Nataly Sharkov and
More informationGame Theory. 2.1 Zero Sum Games (Part 2) George Mason University, Spring 2018
Game Theory 2.1 Zero Sum Games (Part 2) George Mason University, Spring 2018 The Nash equilibria of two-player, zero-sum games have various nice properties. Minimax Condition A pair of strategies is in
More informationComputing Solution Concepts of Normal-Form Games. Song Chong EE, KAIST
Computing Solution Concepts of Normal-Form Games Song Chong EE, KAIST songchong@kaist.edu Computing Nash Equilibria of Two-Player, Zero-Sum Games Can be expressed as a linear program (LP), which means
More informationWars of Attrition with Budget Constraints
Wars of Attrition with Budget Constraints Gagan Ghosh Bingchao Huangfu Heng Liu October 19, 2017 (PRELIMINARY AND INCOMPLETE: COMMENTS WELCOME) Abstract We study wars of attrition between two bidders who
More informationLecture Notes on Game Theory
Lecture Notes on Game Theory Levent Koçkesen Strategic Form Games In this part we will analyze games in which the players choose their actions simultaneously (or without the knowledge of other players
More informationEVOLUTIONARY STABILITY FOR TWO-STAGE HAWK-DOVE GAMES
ROCKY MOUNTAIN JOURNAL OF MATHEMATICS olume 25, Number 1, Winter 1995 EOLUTIONARY STABILITY FOR TWO-STAGE HAWK-DOE GAMES R. CRESSMAN ABSTRACT. Although two individuals in a biological species often interact
More informationMohammad Hossein Manshaei 1394
Mohammad Hossein Manshaei manshaei@gmail.com 1394 2 Concept related to a specific branch of Biology Relates to the evolution of the species in nature Powerful modeling tool that has received a lot of attention
More informationEvolutionary Game Theory Notes
Evolutionary Game Theory Notes James Massey These notes are intended to be a largely self contained guide to everything you need to know for the evolutionary game theory part of the EC341 module. During
More informationOther Equilibrium Notions
Other Equilibrium Notions Ichiro Obara UCLA January 21, 2012 Obara (UCLA) Other Equilibrium Notions January 21, 2012 1 / 28 Trembling Hand Perfect Equilibrium Trembling Hand Perfect Equilibrium We may
More informationEC3224 Autumn Lecture #03 Applications of Nash Equilibrium
Reading EC3224 Autumn Lecture #03 Applications of Nash Equilibrium Osborne Chapter 3 By the end of this week you should be able to: apply Nash equilibrium to oligopoly games, voting games and other examples.
More informationGame Theory and Algorithms Lecture 2: Nash Equilibria and Examples
Game Theory and Algorithms Lecture 2: Nash Equilibria and Examples February 24, 2011 Summary: We introduce the Nash Equilibrium: an outcome (action profile) which is stable in the sense that no player
More informationM340(921) Solutions Practice Problems (c) 2013, Philip D Loewen
M340(921) Solutions Practice Problems (c) 2013, Philip D Loewen 1. Consider a zero-sum game between Claude and Rachel in which the following matrix shows Claude s winnings: C 1 C 2 C 3 R 1 4 2 5 R G =
More informationIterated Strict Dominance in Pure Strategies
Iterated Strict Dominance in Pure Strategies We know that no rational player ever plays strictly dominated strategies. As each player knows that each player is rational, each player knows that his opponents
More informationVariants of Nash Equilibrium. CMPT 882 Computational Game Theory Simon Fraser University Spring 2010 Instructor: Oliver Schulte
Variants of Nash Equilibrium CMPT 882 Computational Game Theory Simon Fraser University Spring 2010 Instructor: Oliver Schulte 1 Equilibrium Refinements A complex game may have many Nash equilibria. Can
More informationEC3224 Autumn Lecture #04 Mixed-Strategy Equilibrium
Reading EC3224 Autumn Lecture #04 Mixed-Strategy Equilibrium Osborne Chapter 4.1 to 4.10 By the end of this week you should be able to: find a mixed strategy Nash Equilibrium of a game explain why mixed
More informationGame Theory: introduction and applications to computer networks
Game Theory: introduction and applications to computer networks Introduction Giovanni Neglia INRIA EPI Maestro 27 January 2014 Part of the slides are based on a previous course with D. Figueiredo (UFRJ)
More informationPrisoner s Dilemma. Veronica Ciocanel. February 25, 2013
n-person February 25, 2013 n-person Table of contents 1 Equations 5.4, 5.6 2 3 Types of dilemmas 4 n-person n-person GRIM, GRIM, ALLD Useful to think of equations 5.4 and 5.6 in terms of cooperation and
More informationONLINE APPENDIX. Upping the Ante: The Equilibrium Effects of Unconditional Grants to Private Schools
ONLINE APPENDIX Upping the Ante: The Equilibrium Effects of Unconditional Grants to Private Schools T. Andrabi, J. Das, A.I. Khwaja, S. Ozyurt, and N. Singh Contents A Theory A.1 Homogeneous Demand.................................
More informationAn Introduction to Evolutionary Game Theory
An Introduction to Evolutionary Game Theory Lectures delivered at the Graduate School on Nonlinear and Stochastic Systems in Biology held in the Department of Applied Mathematics, School of Mathematics
More informationLindsell, E. A. B., & Wiesner, K. (2014). Entanglement gives rise to Pareto optimality in the generalised quantum Hawk-Dove Game. arxiv.
Lindsell, E. A. B., & Wiesner, K. (2014). Entanglement gives rise to Pareto optimality in the generalised quantum Hawk-Dove Game. arxiv. Peer reviewed version Link to publication record in Explore Bristol
More informationProblems on Evolutionary dynamics
Problems on Evolutionary dynamics Doctoral Programme in Physics José A. Cuesta Lausanne, June 10 13, 2014 Replication 1. Consider the Galton-Watson process defined by the offspring distribution p 0 =
More informationGame Theory for Linguists
Fritz Hamm, Roland Mühlenbernd 4. Mai 2016 Overview Overview 1. Exercises 2. Contribution to a Public Good 3. Dominated Actions Exercises Exercise I Exercise Find the player s best response functions in
More informationNash-solvable bidirected cyclic two-person game forms
DIMACS Technical Report 2008-13 November 2008 Nash-solvable bidirected cyclic two-person game forms by Endre Boros 1 RUTCOR, Rutgers University 640 Bartholomew Road, Piscataway NJ 08854-8003 boros@rutcor.rutgers.edu
More informationהאוניברסיטה העברית בירושלים
האוניברסיטה העברית בירושלים THE HEBREW UNIVERSITY OF JERUSALEM TOWARDS A CHARACTERIZATION OF RATIONAL EXPECTATIONS by ITAI ARIELI Discussion Paper # 475 February 2008 מרכז לחקר הרציונליות CENTER FOR THE
More informationECO 199 GAMES OF STRATEGY Spring Term 2004 Precepts Week 7 March Questions GAMES WITH ASYMMETRIC INFORMATION QUESTIONS
ECO 199 GAMES OF STRATEGY Spring Term 2004 Precepts Week 7 March 22-23 Questions GAMES WITH ASYMMETRIC INFORMATION QUESTIONS Question 1: In the final stages of the printing of Games of Strategy, Sue Skeath
More informationRefinements - change set of equilibria to find "better" set of equilibria by eliminating some that are less plausible
efinements efinements - change set of equilibria to find "better" set of equilibria by eliminating some that are less plausible Strategic Form Eliminate Weakly Dominated Strategies - Purpose - throwing
More informationEvolution & Learning in Games
1 / 27 Evolution & Learning in Games Econ 243B Jean-Paul Carvalho Lecture 2. Foundations of Evolution & Learning in Games II 2 / 27 Outline In this lecture, we shall: Take a first look at local stability.
More informationGame Theory, Evolutionary Dynamics, and Multi-Agent Learning. Prof. Nicola Gatti
Game Theory, Evolutionary Dynamics, and Multi-Agent Learning Prof. Nicola Gatti (nicola.gatti@polimi.it) Game theory Game theory: basics Normal form Players Actions Outcomes Utilities Strategies Solutions
More informationThe ambiguous impact of contracts on competition in the electricity market Yves Smeers
The ambiguous impact of contracts on competition in the electricity market Yves Smeers joint work with Frederic Murphy Climate Policy and Long Term Decisions-Investment and R&D, Bocconi University, Milan,
More informationInterspecific Kleptoparasitism
Interspecific Kleptoparasitism submitted by Elizabeth Gallagher for the degree of MSc Mathematical Biology of the University of Bath Department of Mathematical Sciences July-September 2010 COPYRIGHT Attention
More informationBasic Game Theory. Kate Larson. January 7, University of Waterloo. Kate Larson. What is Game Theory? Normal Form Games. Computing Equilibria
Basic Game Theory University of Waterloo January 7, 2013 Outline 1 2 3 What is game theory? The study of games! Bluffing in poker What move to make in chess How to play Rock-Scissors-Paper Also study of
More informationStatic and dynamic stability conditions for structurally stable signaling games
1/32 Static and dynamic stability conditions for structurally stable signaling games Gerhard Jäger Gerhard.Jaeger@uni-bielefeld.de September 8, 2007 Workshop on Communication, Game Theory, and Language,
More informationLARGE POPULATION EVOLUTIONARY GAMES PLAYED WITHIN A LIFE HISTORY FRAMEWORK. 1. Introduction
B A D A N I A O P E R A C Y J N E I D E C Y Z J E Nr 2 2009 David RAMSEY* LARGE POPULATION EVOLUTIONARY GAMES PLAYED WITHIN A LIFE HISTORY FRAMEWORK In many evolutionary games, such as parental care games,
More informationUC Berkeley Haas School of Business Game Theory (EMBA 296 & EWMBA 211) Summer 2016
UC Berkeley Haas School of Business Game Theory (EMBA 296 & EWMBA 211) Summer 2016 More on strategic games and extensive games with perfect information Block 2 Jun 12, 2016 Food for thought LUPI Many players
More informationLong-Run versus Short-Run Player
Repeated Games 1 Long-Run versus Short-Run Player a fixed simultaneous move stage game Player 1 is long-run with discount factor δ actions a A a finite set 1 1 1 1 2 utility u ( a, a ) Player 2 is short-run
More informationEvolutionary Game Theory
Evolutionary Game Theory ISI 330 Lecture 18 1 ISI 330 Lecture 18 Outline A bit about historical origins of Evolutionary Game Theory Main (competing) theories about how cooperation evolves P and other social
More informationNon-zero-sum Game and Nash Equilibarium
Non-zero-sum Game and Nash Equilibarium Team nogg December 21, 2016 Overview Prisoner s Dilemma Prisoner s Dilemma: Alice Deny Alice Confess Bob Deny (-1,-1) (-9,0) Bob Confess (0,-9) (-6,-6) Prisoner
More informationMechanism Design: Basic Concepts
Advanced Microeconomic Theory: Economics 521b Spring 2011 Juuso Välimäki Mechanism Design: Basic Concepts The setup is similar to that of a Bayesian game. The ingredients are: 1. Set of players, i {1,
More informationarxiv: v2 [cs.gt] 13 Dec 2014
A POPULATION-CENTRIC APPROACH TO THE BEAUTY CONTEST GAME MARC HARPER arxiv:1005.1311v [cs.gt] 13 Dec 014 Abstract. An population-centric analysis for a version of the p-beauty contest game is given for
More informationOpting Out in a War of Attrition. Abstract
Opting Out in a War of Attrition Mercedes Adamuz Department of Business, Instituto Tecnológico Autónomo de México and Department of Economics, Universitat Autònoma de Barcelona Abstract This paper analyzes
More informationTitle: The Castle on the Hill. Author: David K. Levine. Department of Economics UCLA. Los Angeles, CA phone/fax
Title: The Castle on the Hill Author: David K. Levine Department of Economics UCLA Los Angeles, CA 90095 phone/fax 310-825-3810 email dlevine@ucla.edu Proposed Running Head: Castle on the Hill Forthcoming:
More informationNTU IO (I) : Classnote 03 Meng-Yu Liang March, 2009
NTU IO (I) : Classnote 03 Meng-Yu Liang March, 2009 Kohlberg and Mertens (Econometrica 1986) We will use the term (game) tree for the extensive form of a game with perfect recall (i.e., where every player
More informationIterative Weak Dominance and Interval-Dominance Supermodular Games
Iterative Weak Dominance and Interval-Dominance Supermodular Games Joel Sobel April 4, 2016 Abstract This paper extends Milgrom and Robert s treatment of supermodular games in two ways. It points out that
More informationConflict Games with Payoff Uncertainty 1
Conflict Games with Payoff Uncertainty 1 Sandeep Baliga Northwestern University Tomas Sjöström Rutgers University June 2011 1 This paper has benefitted from insightful comments by Stephen Morris. Abstract
More informationEvolutionary Stable Strategies. and Well Posedness Property
Applied Mathematical Sciences, Vol. 7, 013, no. 8, 363-376 Evolutionary Stable Strategies and Well Posedness Property Lucia Pusillo DIMA - Department of Mathematics University of Genoa, via Dodecaneso
More informationChapter 7. Evolutionary Game Theory
Chapter 7 Evolutionary Game Theory In Chapter 6, we developed the basic ideas of game theory, in which individual players make decisions, and the payoff to each player depends on the decisions made by
More informationMechanism Design: Review of Basic Concepts
Juuso Välimäki Oslo Minicourse in Mechanism Design November 206 Mechanism Design: Review of Basic Concepts Single Agent We start with a review of incentive compatibility in the simplest possible setting:
More informationMsc Micro I exam. Lecturer: Todd Kaplan.
Msc Micro I 204-205 exam. Lecturer: Todd Kaplan. Please answer exactly 5 questions. Answer one question from each of sections: A, B, C, and D and answer one additional question from any of the sections
More informationMicroeconomics for Business Practice Session 3 - Solutions
Microeconomics for Business Practice Session - Solutions Instructor: Eloisa Campioni TA: Ugo Zannini University of Rome Tor Vergata April 8, 016 Exercise 1 Show that there are no mixed-strategy Nash equilibria
More informationC31: Game Theory, Lecture 1
C31: Game Theory, Lecture 1 V. Bhaskar University College London 5 October 2006 C31 Lecture 1: Games in strategic form & Pure strategy equilibrium Osborne: ch 2,3, 12.2, 12.3 A game is a situation where:
More informationLaws of Adaptation. A course on biological evolution in eight lectures by Carlo Matessi. Lecture 7. Ways to diversity, or polymorphic LTE
1 Laws of Adaptation A course on biological evolution in eight lectures by Carlo Matessi Lecture 7 Ways to diversity, or polymorphic LTE Part I discrete traits Wednesday October 18, 15:00-16:00 2 Adaptive
More informationGame Theory. Solutions to Problem Set 4
1 Hotelling s model 1.1 Two vendors Game Theory Solutions to Problem Set 4 Consider a strategy pro le (s 1 s ) with s 1 6= s Suppose s 1 < s In this case, it is pro table to for player 1 to deviate and
More informationDIMACS Technical Report March Game Seki 1
DIMACS Technical Report 2007-05 March 2007 Game Seki 1 by Diogo V. Andrade RUTCOR, Rutgers University 640 Bartholomew Road Piscataway, NJ 08854-8003 dandrade@rutcor.rutgers.edu Vladimir A. Gurvich RUTCOR,
More informationEvolutionary game theory different from economic game theory
References Evolution and the Theory of Games - John Maynard Smith 1982 Theoretical Evolutionary Ecology - Michael Bulmer 199 A theory for the evolutionary game - Joel Brown & Tom Vincent Theor Popul Biol
More informationUncertainty. Michael Peters December 27, 2013
Uncertainty Michael Peters December 27, 20 Lotteries In many problems in economics, people are forced to make decisions without knowing exactly what the consequences will be. For example, when you buy
More informationZero sum games Proving the vn theorem. Zero sum games. Roberto Lucchetti. Politecnico di Milano
Politecnico di Milano General form Definition A two player zero sum game in strategic form is the triplet (X, Y, f : X Y R) f (x, y) is what Pl1 gets from Pl2, when they play x, y respectively. Thus g
More informationKalle Parvinen. Department of Mathematics FIN University of Turku, Finland
Adaptive dynamics: on the origin of species by sympatric speciation, and species extinction by evolutionary suicide. With an application to the evolution of public goods cooperation. Department of Mathematics
More informationBargaining with Periodic Participation Costs
Bargaining with Periodic Participation Costs Emin Karagözoğlu Shiran Rachmilevitch July 4, 017 Abstract We study a bargaining game in which a player needs to pay a fixed cost in the beginning of every
More informationA multitype Hawk and Dove game
A multitype Hawk and Dove game Aditya Aradhye, Eitan Altman, Rachid El-Azouzi To cite this version: Aditya Aradhye, Eitan Altman, Rachid El-Azouzi. A multitype Hawk and Dove game. 7th EAI International
More informationEquilibria in Games with Weak Payoff Externalities
NUPRI Working Paper 2016-03 Equilibria in Games with Weak Payoff Externalities Takuya Iimura, Toshimasa Maruta, and Takahiro Watanabe October, 2016 Nihon University Population Research Institute http://www.nihon-u.ac.jp/research/institute/population/nupri/en/publications.html
More informationCrowdsourcing contests
December 8, 2012 Table of contents 1 Introduction 2 Related Work 3 Model: Basics 4 Model: Participants 5 Homogeneous Effort 6 Extensions Table of Contents 1 Introduction 2 Related Work 3 Model: Basics
More informationTwo-person Pairwise Solvable Games
NUPRI Working Paper 2016-02 Two-person Pairwise Solvable Games Takuya Iimura, Toshimasa Maruta, and Takahiro Watanabe October, 2016 Nihon University Population Research Institute http://www.nihon-u.ac.jp/research/institute/population/nupri/en/publications.html
More informationExtensive Form Games I
Extensive Form Games I Definition of Extensive Form Game a finite game tree X with nodes x X nodes are partially ordered and have a single root (minimal element) terminal nodes are z Z (maximal elements)
More informationNear-Potential Games: Geometry and Dynamics
Near-Potential Games: Geometry and Dynamics Ozan Candogan, Asuman Ozdaglar and Pablo A. Parrilo January 29, 2012 Abstract Potential games are a special class of games for which many adaptive user dynamics
More informationFirst Prev Next Last Go Back Full Screen Close Quit. Game Theory. Giorgio Fagiolo
Game Theory Giorgio Fagiolo giorgio.fagiolo@univr.it https://mail.sssup.it/ fagiolo/welcome.html Academic Year 2005-2006 University of Verona Summary 1. Why Game Theory? 2. Cooperative vs. Noncooperative
More informationA (Brief) Introduction to Game Theory
A (Brief) Introduction to Game Theory Johanne Cohen PRiSM/CNRS, Versailles, France. Goal Goal is a Nash equilibrium. Today The game of Chicken Definitions Nash Equilibrium Rock-paper-scissors Game Mixed
More informationUniqueness and Existence of Equilibrium in Auctions with a Reserve Price
Games and Economic Behavior 30, 83 114 (2000) doi:10.1006/game.1998.0704, available online at http://www.idealibrary.com on Uniqueness and Existence of Equilibrium in Auctions with a Reserve Price Alessandro
More informationLecture Notes 3: Duality
Algorithmic Methods 1/11/21 Professor: Yossi Azar Lecture Notes 3: Duality Scribe:Moran Bar-Gat 1 Introduction In this lecture we will present the dual concept, Farkas s Lema and their relation to the
More informationNear-Potential Games: Geometry and Dynamics
Near-Potential Games: Geometry and Dynamics Ozan Candogan, Asuman Ozdaglar and Pablo A. Parrilo September 6, 2011 Abstract Potential games are a special class of games for which many adaptive user dynamics
More informationGeneral-sum games. I.e., pretend that the opponent is only trying to hurt you. If Column was trying to hurt Row, Column would play Left, so
General-sum games You could still play a minimax strategy in general- sum games I.e., pretend that the opponent is only trying to hurt you But this is not rational: 0, 0 3, 1 1, 0 2, 1 If Column was trying
More informationMonotonic ɛ-equilibria in strongly symmetric games
Monotonic ɛ-equilibria in strongly symmetric games Shiran Rachmilevitch April 22, 2016 Abstract ɛ-equilibrium allows for worse actions to be played with higher probability than better actions. I introduce
More informationMathematical Economics - PhD in Economics
- PhD in Part 1: Supermodularity and complementarity in the one-dimensional and Paulo Brito ISEG - Technical University of Lisbon November 24, 2010 1 2 - Supermodular optimization 3 one-dimensional 4 Supermodular
More information6.891 Games, Decision, and Computation February 5, Lecture 2
6.891 Games, Decision, and Computation February 5, 2015 Lecture 2 Lecturer: Constantinos Daskalakis Scribe: Constantinos Daskalakis We formally define games and the solution concepts overviewed in Lecture
More informationEVOLUTIONARILY STABLE STRATEGIES AND GROUP VERSUS INDIVIDUAL SELECTION
39 EVOLUTIONARILY STABLE STRATEGIES AND GROUP VERSUS INDIVIDUAL SELECTION Objectives Understand the concept of game theory. Set up a spreadsheet model of simple game theory interactions. Explore the effects
More informationAn ESS Maximum Principle for Matrix Games
Theoretical Population Biology 58, 173186 (2000) doi:10.1006tpbi.2000.1487, available online at http:www.idealibrary.com on An ESS Maximum Principle for Matrix Games Thomas L. Vincent Aerospace and Mechanical
More information1 Lattices and Tarski s Theorem
MS&E 336 Lecture 8: Supermodular games Ramesh Johari April 30, 2007 In this lecture, we develop the theory of supermodular games; key references are the papers of Topkis [7], Vives [8], and Milgrom and
More informationMATH1050 Greatest/least element, upper/lower bound
MATH1050 Greatest/ element, upper/lower bound 1 Definition Let S be a subset of R x λ (a) Let λ S λ is said to be a element of S if, for any x S, x λ (b) S is said to have a element if there exists some
More informationLevel K Thinking. Mark Dean. Columbia University - Spring 2017
Level K Thinking Mark Dean Columbia University - Spring 2017 Introduction Game theory: The study of strategic decision making Your outcome depends on your own actions and the actions of others Standard
More informationComputational Game Theory Spring Semester, 2005/6. Lecturer: Yishay Mansour Scribe: Ilan Cohen, Natan Rubin, Ophir Bleiberg*
Computational Game Theory Spring Semester, 2005/6 Lecture 5: 2-Player Zero Sum Games Lecturer: Yishay Mansour Scribe: Ilan Cohen, Natan Rubin, Ophir Bleiberg* 1 5.1 2-Player Zero Sum Games In this lecture
More informationAlgorithmic Problem Solving. Roland Backhouse January 29, 2004
1 Algorithmic Problem Solving Roland Backhouse January 29, 2004 Outline 2 Goal Introduce principles of algorithm construction Vehicle Fun problems (games, puzzles) Chocolate-bar Problem 3 How many cuts
More informationEXERCISE SET 5.1. = (kx + kx + k, ky + ky + k ) = (kx + kx + 1, ky + ky + 1) = ((k + )x + 1, (k + )y + 1)
EXERCISE SET 5. 6. The pair (, 2) is in the set but the pair ( )(, 2) = (, 2) is not because the first component is negative; hence Axiom 6 fails. Axiom 5 also fails. 8. Axioms, 2, 3, 6, 9, and are easily
More informationMath 16 - Practice Final
Math 16 - Practice Final May 28th 2007 Name: Instructions 1. In Part A, attempt every question. In Part B, attempt two of the five questions. If you attempt more you will only receive credit for your best
More informationBasics of Game Theory
Basics of Game Theory Giacomo Bacci and Luca Sanguinetti Department of Information Engineering University of Pisa, Pisa, Italy {giacomo.bacci,luca.sanguinetti}@iet.unipi.it April - May, 2010 G. Bacci and
More informationGame Theory. 4. Algorithms. Bernhard Nebel and Robert Mattmüller. May 2nd, Albert-Ludwigs-Universität Freiburg
Game Theory 4. Algorithms Albert-Ludwigs-Universität Freiburg Bernhard Nebel and Robert Mattmüller May 2nd, 2018 May 2nd, 2018 B. Nebel, R. Mattmüller Game Theory 2 / 36 We know: In finite strategic games,
More informationLower Semicontinuity of the Solution Set Mapping in Some Optimization Problems
Lower Semicontinuity of the Solution Set Mapping in Some Optimization Problems Roberto Lucchetti coauthors: A. Daniilidis, M.A. Goberna, M.A. López, Y. Viossat Dipartimento di Matematica, Politecnico di
More information