Strategic Games: Social Optima and Nash Equilibria

Size: px
Start display at page:

Download "Strategic Games: Social Optima and Nash Equilibria"

Transcription

1 Strategic Games: Social Optima and Nash Equilibria Krzysztof R. Apt CWI & University of Amsterdam Strategic Games:Social Optima and Nash Equilibria p. 1/2

2 Basic Concepts Strategic games. Nash equilibrium. Social optimum. Price of anarchy. Price of stability. Strategic Games:Social Optima and Nash Equilibria p. 2/2

3 Strategic Games Strategic game for N 2 players: G := (N,{S i } i N,{p i } i N ). For each player i (possibly infinite) set S i of strategies, payoff function p i : S 1... S n R. Strategic Games:Social Optima and Nash Equilibria p. 3/2

4 Basic assumptions Players choose their strategies simultaneously, each player is rational: his objective is to maximize his payoff, players have common knowledge of the game and of each others rationality. Strategic Games:Social Optima and Nash Equilibria p. 4/2

5 The Battle of the Sexes Matching Pennies Prisoner s Dilemma Three Examples (1) F B F 2,1 0,0 B 0,0 1,2 H T H 1, 1 1, 1 T 1, 1 1, 1 C D C 2,2 0,3 D 3,0 1,1 Strategic Games: Social Optima and Nash Equilibria p. 5/2

6 Main Concepts Notation: s i,s i S i, s,s,(s i,s i ) S 1... S n. s is a Nash equilibrium if i {1,...,n} s i S i p i (s i,s i ) p i (s i,s i ). Social welfare of s: SW(s) := n j=1 p j (s). s is a social optimum if SW(s) is maximal. Strategic Games: Social Optima and Nash Equilibria p. 6/2

7 Intuitions Nash equilibrium: Every player is happy (played his best response). Social optimum: The desired state of affairs for the society. Main problem: Social optima may not be Nash equilibria. Strategic Games: Social Optima and Nash Equilibria p. 7/2

8 The Battle of the Sexes: Matching Pennies: Prisoner s Dilemma: Three Examples (2) Two Nash equilibria. F B F 2,1 0,0 B 0,0 1,2 No Nash equilibrium. H T H 1, 1 1, 1 T 1, 1 1, 1 One Nash equilibrium. C D C 2,2 0,3 D 3,0 1,1 Strategic Games: Social Optima and Nash Equilibria p. 8/2

9 Prisoner s Dilemma in Practice Strategic Games: Social Optima and Nash Equilibria p. 9/2

10 Price of Anarchy and of Stability Price of Anarchy (Koutsoupias, Papadimitriou, 1999): SW of social optimum SW of the worst Nash equilibrium Price of Stability (Schulz, Moses, 2003): SW of social optimum SW of the best Nash equilibrium Strategic Games: Social Optima and Nash Equilibria p. 10/2

11 Examples A 3 3 game L M R T 2,2 4,1 1,0 C 1,4 3,3 1,0 B 0,1 0,1 1,1 PoA = 6 2 = 3. PoS = 6 4 = 1.5. Prisoner s Dilemma PoA = PoS = 2. C D C 2,2 0,3 D 3,0 1,1 Strategic Games: Social Optima and Nash Equilibria p. 11/2

12 Congestion Games: Example Assumptions: 4000 drivers drive from A to B. Each driver has 2 possibilities (strategies). U A T/ B T/100 Problem: Find a Nash equilibrium (T = number of drivers). R Strategic Games: Social Optima and Nash Equilibria p. 12/2

13 Nash Equilibrium U A T/ B T/100 R Answer: 2000/2000. Travel time: 2000/ = /100 = 65. Strategic Games: Social Optima and Nash Equilibria p. 13/2

14 Braess Paradox Add a fast road from U to R. Each drives has now 3 possibilities (strategies): A - U - B, A - R - B, A - U - R - B. U T/100 A B T/100 R Problem: Find a Nash equilibrium. Strategic Games: Social Optima and Nash Equilibria p. 14/2

15 Nash Equilibrium U T/100 A B T/100 R Answer: Each driver will choose the road A - U - R - B. Why?: The road A - U - R - B is always a best response. Strategic Games: Social Optima and Nash Equilibria p. 15/2

16 Bad News U T/100 A B T/100 Travel time: 4000/ /100 = 80! PoA (and PoS) went up from 1 to 80/65. R Strategic Games: Social Optima and Nash Equilibria p. 16/2

17 Does it Happen? From Wikipedia ( Braess Paradox ): In Seoul, South Korea, a speeding-up in traffic around the city was seen when a motorway was removed as part of the Cheonggyecheon restoration project. In Stuttgart, Germany after investments into the road network in 1969, the traffic situation did not improve until a section of newly-built road was closed for traffic again. In 1990 the closing of 42nd street in New York City reduced the amount of congestion in the area. In 2008 Youn, Gastner and Jeong demonstrated specific routes in Boston, New York City and London where this might actually occur and pointed out roads that could be closed to reduce predicted travel times. Strategic Games: Social Optima and Nash Equilibria p. 17/2

18 General Model Congestion games Each player chooses some set of resources. Each resource has a delay function associated with it. Each player pays for each resource used. The price for the use of the resource depends on the number of users. Theorem (Anshelevich et al., 2004) If the delay functions are linear, then PoA 4 3. Strategic Games: Social Optima and Nash Equilibria p. 18/2

19 More Concepts Altruistic games. Selfishness level. (Based on Selfishness level of strategic games, K.R. Apt and G. Schäfer) Strategic Games: Social Optima and Nash Equilibria p. 19/2

20 Altruistic Games Given G := (N,{S i } i N,{p i } i N ) and α 0. G(α) := (N,{S i } i N,{r i } i N ), where r i (s) := p i (s)+αsw(s). When α > 0 the payoff of each player in G(α) depends on the social welfare of the players. G(α) is an altruistic version of G. Strategic Games: Social Optima and Nash Equilibria p. 20/2

21 Selfishness Level G is α-selfish if a Nash equilibrium of G(α) is a social optimum of G(α). If for no α 0, G is α-selfish, then its selfishness level is. Suppose G is finite. If for some α 0, G is α-selfish, then min (G is α-selfish) α R + is the selfishness level of G. Strategic Games: Social Optima and Nash Equilibria p. 21/2

22 The Battle of the Sexes Matching Pennies Prisoner s Dilemma Three Examples (1) F B F 2,1 0,0 B 0,0 1,2 H T H 1, 1 1, 1 T 1, 1 1, 1 C D C 2,2 0,3 D 3,0 1,1 Strategic Games: Social Optima and Nash Equilibria p. 22/2

23 Three Examples (2) The Battle of the Sexes: selfishness level is 0. F B F 2,1 0,0 B 0,0 1,2 Matching Pennies: selfishness level is. H T H 1, 1 1, 1 T 1, 1 1, 1 Prisoner s Dilemma: selfishness level is 1. C D C 2,2 0,3 D 3,0 1,1 C D C 6,6 3,6 D 6,3 3,3 Strategic Games: Social Optima and Nash Equilibria p. 23/2

24 Selfishness Level vs Price of Stability Note Selfishness level of a finite game is 0 iff price of stability is 1. Theorem For every finite α > 0 and β > 1 there is a finite game with selfishness level α and price of stability β. Strategic Games: Social Optima and Nash Equilibria p. 24/2

25 Example: Prisoner s Dilemma Prisoner s Dilemma for n players Each S i = {0,1}, p i (s) := 1 s i + 2 s j. j i Proposition Selfishness level is 1 2n 3. Strategic Games: Social Optima and Nash Equilibria p. 25/2

26 Example: Traveler s Dilemma Two players, S i = {2,...,100}, s i if s i = s i p i (s) := s i + 2 if s i < s i s i 2 otherwise. Problem: Find a Nash equilibrium. Proposition Selfishness level is 1 2. Strategic Games: Social Optima and Nash Equilibria p. 26/2

27 Take Home Message Price of anarchy and price of stability are descriptive concepts. Selfishness level is a normative concept. Strategic Games: Social Optima and Nash Equilibria p. 27/2

28 Some Quotations Dalai Lama: The intelligent way to be selfish is to work for the welfare of others. Microeconomics: Behavior, Institutions, and Evolution, S. Bowles 04. An excellent way to promote cooperation in a society is to teach people to care about the welfare of others. The Evolution of Cooperation, R. Axelrod, 84. Strategic Games: Social Optima and Nash Equilibria p. 28/2

29 THANK YOU Strategic Games: Social Optima and Nash Equilibria p. 29/2

Potential Games. Krzysztof R. Apt. CWI, Amsterdam, the Netherlands, University of Amsterdam. Potential Games p. 1/3

Potential Games. Krzysztof R. Apt. CWI, Amsterdam, the Netherlands, University of Amsterdam. Potential Games p. 1/3 Potential Games p. 1/3 Potential Games Krzysztof R. Apt CWI, Amsterdam, the Netherlands, University of Amsterdam Potential Games p. 2/3 Overview Best response dynamics. Potential games. Congestion games.

More information

Outline for today. Stat155 Game Theory Lecture 17: Correlated equilibria and the price of anarchy. Correlated equilibrium. A driving example.

Outline for today. Stat155 Game Theory Lecture 17: Correlated equilibria and the price of anarchy. Correlated equilibrium. A driving example. Outline for today Stat55 Game Theory Lecture 7: Correlated equilibria and the price of anarchy Peter Bartlett s Example: October 5, 06 A driving example / 7 / 7 Payoff Go (-00,-00) (,-) (-,) (-,-) Nash

More information

Game Theory: Spring 2017

Game Theory: Spring 2017 Game Theory: Spring 207 Ulle Endriss Institute for Logic, Language and Computation University of Amsterdam Ulle Endriss Plan for Today We have seen that every normal-form game has a Nash equilibrium, although

More information

Traffic Games Econ / CS166b Feb 28, 2012

Traffic Games Econ / CS166b Feb 28, 2012 Traffic Games Econ / CS166b Feb 28, 2012 John Musacchio Associate Professor Technology and Information Management University of California, Santa Cruz johnm@soe.ucsc.edu Traffic Games l Basics l Braess

More information

News. Good news. Bad news. Ugly news

News. Good news. Bad news. Ugly news News Good news I probably won t use 1:3 hours. The talk is supposed to be easy and has many examples. After the talk you will at least remember how to prove one nice theorem. Bad news Concerning algorithmic

More information

AGlimpseofAGT: Selfish Routing

AGlimpseofAGT: Selfish Routing AGlimpseofAGT: Selfish Routing Guido Schäfer CWI Amsterdam / VU University Amsterdam g.schaefer@cwi.nl Course: Combinatorial Optimization VU University Amsterdam March 12 & 14, 2013 Motivation Situations

More information

Game Theory and Control

Game Theory and Control Game Theory and Control Lecture 4: Potential games Saverio Bolognani, Ashish Hota, Maryam Kamgarpour Automatic Control Laboratory ETH Zürich 1 / 40 Course Outline 1 Introduction 22.02 Lecture 1: Introduction

More information

MS&E 246: Lecture 17 Network routing. Ramesh Johari

MS&E 246: Lecture 17 Network routing. Ramesh Johari MS&E 246: Lecture 17 Network routing Ramesh Johari Network routing Basic definitions Wardrop equilibrium Braess paradox Implications Network routing N users travel across a network Transportation Internet

More information

Algorithmic Game Theory. Alexander Skopalik

Algorithmic Game Theory. Alexander Skopalik Algorithmic Game Theory Alexander Skopalik Today Course Mechanics & Overview Introduction into game theory and some examples Chapter 1: Selfish routing Alexander Skopalik Skopalik@mail.uni-paderborn.de

More information

Introduction to Game Theory

Introduction to Game Theory Introduction to Game Theory Project Group DynaSearch November 5th, 2013 Maximilian Drees Source: Fotolia, Jürgen Priewe Introduction to Game Theory Maximilian Drees 1 Game Theory In many situations, the

More information

ALGORITHMIC GAME THEORY. Incentive and Computation

ALGORITHMIC GAME THEORY. Incentive and Computation ALGORITHMIC GAME THEORY Incentive and Computation Basic Parameters When: Monday/Wednesday, 3:00-4:20 Where: Here! Who: Professor Aaron Roth TA: Steven Wu How: 3-4 problem sets (40%), 2 exams (50%), Participation

More information

The Paradox Severity Linear Latency General Latency Extensions Conclusion. Braess Paradox. Julian Romero. January 22, 2008.

The Paradox Severity Linear Latency General Latency Extensions Conclusion. Braess Paradox. Julian Romero. January 22, 2008. Julian Romero January 22, 2008 Romero 1 / 20 Outline The Paradox Severity Linear Latency General Latency Extensions Conclusion Romero 2 / 20 Introduced by Dietrich Braess in 1968. Adding costless edges

More information

OIM 413 Logistics and Transportation Lecture 7: Basic Sensitivity Analysis and the Braess Paradox

OIM 413 Logistics and Transportation Lecture 7: Basic Sensitivity Analysis and the Braess Paradox OIM 413 Logistics and Transportation Lecture 7: Basic Sensitivity Analysis and the Braess Paradox Professor Anna Nagurney John F. Smith Memorial Professor and Director Virtual Center for Supernetworks

More information

Introduction to Game Theory

Introduction to Game Theory COMP323 Introduction to Computational Game Theory Introduction to Game Theory Paul G. Spirakis Department of Computer Science University of Liverpool Paul G. Spirakis (U. Liverpool) Introduction to Game

More information

Dynamic Atomic Congestion Games with Seasonal Flows

Dynamic Atomic Congestion Games with Seasonal Flows Dynamic Atomic Congestion Games with Seasonal Flows Marc Schröder Marco Scarsini, Tristan Tomala Maastricht University Department of Quantitative Economics Scarsini, Schröder, Tomala Dynamic Atomic Congestion

More information

Network Games with Friends and Foes

Network Games with Friends and Foes Network Games with Friends and Foes Stefan Schmid T-Labs / TU Berlin Who are the participants in the Internet? Stefan Schmid @ Tel Aviv Uni, 200 2 How to Model the Internet? Normal participants : - e.g.,

More information

Game Theory Lecture 2

Game Theory Lecture 2 Game Theory Lecture 2 March 7, 2015 2 Cournot Competition Game and Transportation Game Nash equilibrium does not always occur in practice, due the imperfect information, bargaining, cooperation, sequential

More information

MS&E 246: Lecture 18 Network routing. Ramesh Johari

MS&E 246: Lecture 18 Network routing. Ramesh Johari MS&E 246: Lecture 18 Network routing Ramesh Johari Network routing Last lecture: a model where N is finite Now: assume N is very large Formally: Represent the set of users as a continuous interval, [0,

More information

Efficient Mechanism Design

Efficient Mechanism Design Efficient Mechanism Design Bandwidth Allocation in Computer Network Presenter: Hao MA Game Theory Course Presentation April 1st, 2014 Efficient Mechanism Design Efficient Mechanism Design focus on the

More information

Mixed Strategies. Krzysztof R. Apt. CWI, Amsterdam, the Netherlands, University of Amsterdam. (so not Krzystof and definitely not Krystof)

Mixed Strategies. Krzysztof R. Apt. CWI, Amsterdam, the Netherlands, University of Amsterdam. (so not Krzystof and definitely not Krystof) Mixed Strategies Krzysztof R. Apt (so not Krzystof and definitely not Krystof) CWI, Amsterdam, the Netherlands, University of Amsterdam Mixed Strategies p. 1/1 Mixed Extension of a Finite Game Probability

More information

Game Theory: introduction and applications to computer networks

Game 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 information

Other-Regarding Preferences: Theory and Evidence

Other-Regarding Preferences: Theory and Evidence Other-Regarding Preferences: Theory and Evidence June 9, 2009 GENERAL OUTLINE Economic Rationality is Individual Optimization and Group Equilibrium Narrow version: Restrictive Assumptions about Objective

More information

Pre-Bayesian Games. Krzysztof R. Apt. CWI, Amsterdam, the Netherlands, University of Amsterdam. (so not Krzystof and definitely not Krystof)

Pre-Bayesian Games. Krzysztof R. Apt. CWI, Amsterdam, the Netherlands, University of Amsterdam. (so not Krzystof and definitely not Krystof) Pre-Bayesian Games Krzysztof R. Apt (so not Krzystof and definitely not Krystof) CWI, Amsterdam, the Netherlands, University of Amsterdam Pre-Bayesian Games p. 1/1 Pre-Bayesian Games (Hyafil, Boutilier

More information

Computing Minmax; Dominance

Computing Minmax; Dominance Computing Minmax; Dominance CPSC 532A Lecture 5 Computing Minmax; Dominance CPSC 532A Lecture 5, Slide 1 Lecture Overview 1 Recap 2 Linear Programming 3 Computational Problems Involving Maxmin 4 Domination

More information

Routing Games 1. Sandip Chakraborty. Department of Computer Science and Engineering, INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR.

Routing Games 1. Sandip Chakraborty. Department of Computer Science and Engineering, INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR. Routing Games 1 Sandip Chakraborty Department of Computer Science and Engineering, INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR November 5, 2015 1 Source: Routing Games by Tim Roughgarden Sandip Chakraborty

More information

Routing (Un-) Splittable Flow in Games with Player-Specific Linear Latency Functions

Routing (Un-) Splittable Flow in Games with Player-Specific Linear Latency Functions Routing (Un-) Splittable Flow in Games with Player-Specific Linear Latency Functions Martin Gairing, Burkhard Monien, and Karsten Tiemann Faculty of Computer Science, Electrical Engineering and Mathematics,

More information

Efficiency and Braess Paradox under Pricing

Efficiency and Braess Paradox under Pricing Efficiency and Braess Paradox under Pricing Asuman Ozdaglar Joint work with Xin Huang, [EECS, MIT], Daron Acemoglu [Economics, MIT] October, 2004 Electrical Engineering and Computer Science Dept. Massachusetts

More information

Game Theory. Professor Peter Cramton Economics 300

Game Theory. Professor Peter Cramton Economics 300 Game Theory Professor Peter Cramton Economics 300 Definition Game theory is the study of mathematical models of conflict and cooperation between intelligent and rational decision makers. Rational: each

More information

CSC304 Lecture 5. Game Theory : Zero-Sum Games, The Minimax Theorem. CSC304 - Nisarg Shah 1

CSC304 Lecture 5. Game Theory : Zero-Sum Games, The Minimax Theorem. CSC304 - Nisarg Shah 1 CSC304 Lecture 5 Game Theory : Zero-Sum Games, The Minimax Theorem CSC304 - Nisarg Shah 1 Recap Last lecture Cost-sharing games o Price of anarchy (PoA) can be n o Price of stability (PoS) is O(log n)

More information

Selfish Routing. Simon Fischer. December 17, Selfish Routing in the Wardrop Model. l(x) = x. via both edes. Then,

Selfish Routing. Simon Fischer. December 17, Selfish Routing in the Wardrop Model. l(x) = x. via both edes. Then, Selfish Routing Simon Fischer December 17, 2007 1 Selfish Routing in the Wardrop Model This section is basically a summery of [7] and [3]. 1.1 Some Examples 1.1.1 Pigou s Example l(x) = 1 Optimal solution:

More information

The price of anarchy of finite congestion games

The price of anarchy of finite congestion games The price of anarchy of finite congestion games George Christodoulou Elias Koutsoupias Abstract We consider the price of anarchy of pure Nash equilibria in congestion games with linear latency functions.

More information

General-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. 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 information

Exact and Approximate Equilibria for Optimal Group Network Formation

Exact and Approximate Equilibria for Optimal Group Network Formation Exact and Approximate Equilibria for Optimal Group Network Formation Elliot Anshelevich and Bugra Caskurlu Computer Science Department, RPI, 110 8th Street, Troy, NY 12180 {eanshel,caskub}@cs.rpi.edu Abstract.

More information

On the Smoothed Price of Anarchy of the Traffic Assignment Problem

On the Smoothed Price of Anarchy of the Traffic Assignment Problem On the Smoothed Price of Anarchy of the Traffic Assignment Problem Luciana Buriol 1, Marcus Ritt 1, Félix Rodrigues 1, and Guido Schäfer 2 1 Universidade Federal do Rio Grande do Sul, Informatics Institute,

More information

Game Theory for Linguists

Game 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 information

RANDOM SIMULATIONS OF BRAESS S PARADOX

RANDOM SIMULATIONS OF BRAESS S PARADOX RANDOM SIMULATIONS OF BRAESS S PARADOX PETER CHOTRAS APPROVED: Dr. Dieter Armbruster, Director........................................................ Dr. Nicolas Lanchier, Second Committee Member......................................

More information

Introduction to game theory LECTURE 1

Introduction to game theory LECTURE 1 Introduction to game theory LECTURE 1 Jörgen Weibull January 27, 2010 1 What is game theory? A mathematically formalized theory of strategic interaction between countries at war and peace, in federations

More information

Iterated Strict Dominance in Pure Strategies

Iterated 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 information

Static (or Simultaneous- Move) Games of Complete Information

Static (or Simultaneous- Move) Games of Complete Information Static (or Simultaneous- Move) Games of Complete Information Introduction to Games Normal (or Strategic) Form Representation Teoria dos Jogos - Filomena Garcia 1 Outline of Static Games of Complete Information

More information

CS364A: Algorithmic Game Theory Lecture #13: Potential Games; A Hierarchy of Equilibria

CS364A: Algorithmic Game Theory Lecture #13: Potential Games; A Hierarchy of Equilibria CS364A: Algorithmic Game Theory Lecture #13: Potential Games; A Hierarchy of Equilibria Tim Roughgarden November 4, 2013 Last lecture we proved that every pure Nash equilibrium of an atomic selfish routing

More information

TWO-PERSON KNAPSACK GAME. Zhenbo Wang and Wenxun Xing. Shu-Cherng Fang. (Communicated by Kok Lay Teo)

TWO-PERSON KNAPSACK GAME. Zhenbo Wang and Wenxun Xing. Shu-Cherng Fang. (Communicated by Kok Lay Teo) JOURNAL OF INDUSTRIAL AND doi:10.3934/jimo.2010.6.847 MANAGEMENT OPTIMIZATION Volume 6, Number 4, November 2010 pp. 847 860 TWO-PERSON KNAPSACK GAME Zhenbo Wang and Wenxun Xing Department of Mathematical

More information

Game Theory: introduction and applications to computer networks

Game Theory: introduction and applications to computer networks Game Theory: introduction and applications to computer networks Introduction Giovanni Neglia INRIA EPI Maestro February 04 Part of the slides are based on a previous course with D. Figueiredo (UFRJ) and

More information

Computing Minmax; Dominance

Computing Minmax; Dominance Computing Minmax; Dominance CPSC 532A Lecture 5 Computing Minmax; Dominance CPSC 532A Lecture 5, Slide 1 Lecture Overview 1 Recap 2 Linear Programming 3 Computational Problems Involving Maxmin 4 Domination

More information

Routing Games : From Altruism to Egoism

Routing Games : From Altruism to Egoism : From Altruism to Egoism Amar Prakash Azad INRIA Sophia Antipolis/LIA University of Avignon. Joint work with Eitan Altman, Rachid El-Azouzi October 9, 2009 1 / 36 Outline 1 2 3 4 5 6 7 2 / 36 General

More information

Efficiency Loss in a Network Resource Allocation Game

Efficiency Loss in a Network Resource Allocation Game Efficiency Loss in a Network Resource Allocation Game Ashish Khisti October 27, 2004 Efficiency Loss in a Network Resource Allocation Game p. 1/2 Resource Allocation in Networks Basic Question: How should

More information

Exact and Approximate Equilibria for Optimal Group Network Formation

Exact and Approximate Equilibria for Optimal Group Network Formation Noname manuscript No. will be inserted by the editor) Exact and Approximate Equilibria for Optimal Group Network Formation Elliot Anshelevich Bugra Caskurlu Received: December 2009 / Accepted: Abstract

More information

A (Brief) Introduction to Game Theory

A (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 information

Lecture 19: Common property resources

Lecture 19: Common property resources Lecture 19: Common property resources Economics 336 Economics 336 (Toronto) Lecture 19: Common property resources 1 / 19 Introduction Common property resource: A resource for which no agent has full property

More information

CS 573: Algorithmic Game Theory Lecture date: Feb 6, 2008

CS 573: Algorithmic Game Theory Lecture date: Feb 6, 2008 CS 573: Algorithmic Game Theory Lecture date: Feb 6, 2008 Instructor: Chandra Chekuri Scribe: Omid Fatemieh Contents 1 Network Formation/Design Games 1 1.1 Game Definition and Properties..............................

More information

Discrete Optimization 2010 Lecture 12 TSP, SAT & Outlook

Discrete Optimization 2010 Lecture 12 TSP, SAT & Outlook TSP Randomization Outlook Discrete Optimization 2010 Lecture 12 TSP, SAT & Outlook Marc Uetz University of Twente m.uetz@utwente.nl Lecture 12: sheet 1 / 29 Marc Uetz Discrete Optimization Outline TSP

More information

Shortest Paths from a Group Perspective - a Note on Selsh Routing Games with Cognitive Agents

Shortest Paths from a Group Perspective - a Note on Selsh Routing Games with Cognitive Agents Shortest Paths from a Group Perspective - a Note on Selsh Routing Games with Cognitive Agents Johannes Scholz 1 1 Research Studios Austria, Studio ispace, Salzburg, Austria July 17, 2013 Abstract This

More information

Algorithmic Game Theory

Algorithmic Game Theory Bachelor course 64331010, Caput Operations Research, HC Caput OR 3.5 (3 ects) Lecture Notes Algorithmic Game Theory Department of Econometrics and Operations Research Faculty of Economics and Business

More information

Convergence and Approximation in Potential Games

Convergence and Approximation in Potential Games Convergence and Approximation in Potential Games George Christodoulou 1, Vahab S. Mirrokni 2, and Anastasios Sidiropoulos 2 1 National and Kapodistrian University of Athens Dept. of Informatics and Telecommunications

More information

Parking Space Assignment Problem: A Matching Mechanism Design Approach

Parking Space Assignment Problem: A Matching Mechanism Design Approach Parking Space Assignment Problem: A Matching Mechanism Design Approach Jinyong Jeong Boston College ITEA 2017, Barcelona June 23, 2017 Jinyong Jeong (Boston College ITEA 2017, Barcelona) Parking Space

More information

Evolutionary Game Theory

Evolutionary 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 information

On the Value of Correlation

On the Value of Correlation Journal of Artificial Intelligence Research 33 (2008) 575-613 Submitted 4/08; published 12/08 On the Value of Correlation Itai Ashlagi Harvard Business School, Harvard University, Boston, MA, 02163,USA

More information

On a Network Creation Game

On a Network Creation Game 1 / 16 On a Network Creation Game Alex Fabrikant Ankur Luthra Elitza Maneva Christos H. Papadimitriou Scott Shenker PODC 03, pages 347-351 Presented by Jian XIA for COMP670O: Game Theoretic Applications

More information

Finding Social Optima in Congestion Games with Positive Externalities

Finding Social Optima in Congestion Games with Positive Externalities Finding Social Optima in Congestion Games with Positive Externalities Bart de Keijzer and Guido Schäfer Centrum Wiskunde & Informatica CWI), Amsterdam B.de.Keijzer@cwi.nl, G.Schaefer@cwi.nl Abstract. We

More information

Selfish Multi-User Task Scheduling

Selfish Multi-User Task Scheduling Selfish Multi-User Task Scheduling Thomas E. Carroll and Daniel Grosu Dept. of Computer Science Wayne State University 5143 Cass Avenue Detroit, Michigan 48202 USA Email: {tec, dgrosu}@cs.wayne.edu Abstract

More information

Congestion Games with Load-Dependent Failures: Identical Resources

Congestion Games with Load-Dependent Failures: Identical Resources Congestion Games with Load-Dependent Failures: Identical Resources Michal Penn Technion - IIT Haifa, Israel mpenn@ie.technion.ac.il Maria Polukarov Technion - IIT Haifa, Israel pmasha@tx.technion.ac.il

More information

Game theory and market power

Game theory and market power Game theory and market power Josh Taylor Section 6.1.3, 6.3 in Convex Optimization of Power Systems. 1 Market weaknesses Recall Optimal power flow: minimize p,θ subject to λ i : χ ij 0 : f i (p i ) i p

More information

Introduction to Game Theory. Outline. Topics. Recall how we model rationality. Notes. Notes. Notes. Notes. Tyler Moore.

Introduction to Game Theory. Outline. Topics. Recall how we model rationality. Notes. Notes. Notes. Notes. Tyler Moore. Introduction to Game Theory Tyler Moore Tandy School of Computer Science, University of Tulsa Slides are modified from version written by Benjamin Johnson, UC Berkeley Lecture 15 16 Outline 1 Preferences

More information

Nash Equilibria in Discrete Routing Games with Convex Latency Functions

Nash Equilibria in Discrete Routing Games with Convex Latency Functions Nash Equilibria in Discrete Routing Games with Convex Latency Functions Martin Gairing 1, Thomas Lücking 1, Marios Mavronicolas 2, Burkhard Monien 1, and Manuel Rode 1 1 Faculty of Computer Science, Electrical

More information

Reducing Congestion Through Information Design

Reducing Congestion Through Information Design Reducing Congestion Through Information Design Sanmay Das, Emir Kamenica 2, and Renee Mirka,3 Abstract We consider the problem of designing information in games of uncertain congestion, such as traffic

More information

A Primer on Strategic Games

A Primer on Strategic Games A Primer on Strategic Games Krzysztof R. Apt Abstract This is a short introduction to the subject of strategic games. We focus on the concepts of best response, Nash equilibrium, strict and weak dominance,

More information

6.254 : Game Theory with Engineering Applications Lecture 8: Supermodular and Potential Games

6.254 : Game Theory with Engineering Applications Lecture 8: Supermodular and Potential Games 6.254 : Game Theory with Engineering Applications Lecture 8: Supermodular and Asu Ozdaglar MIT March 2, 2010 1 Introduction Outline Review of Supermodular Games Reading: Fudenberg and Tirole, Section 12.3.

More information

Normal-form games. Vincent Conitzer

Normal-form games. Vincent Conitzer Normal-form games Vincent Conitzer conitzer@cs.duke.edu 2/3 of the average game Everyone writes down a number between 0 and 100 Person closest to 2/3 of the average wins Example: A says 50 B says 10 C

More information

On the Structure and Complexity of Worst-Case Equilibria

On the Structure and Complexity of Worst-Case Equilibria On the Structure and Complexity of Worst-Case Equilibria Simon Fischer and Berthold Vöcking RWTH Aachen, Computer Science 1 52056 Aachen, Germany {fischer,voecking}@cs.rwth-aachen.de Abstract. We study

More information

Suggested solutions to the 6 th seminar, ECON4260

Suggested solutions to the 6 th seminar, ECON4260 1 Suggested solutions to the 6 th seminar, ECON4260 Problem 1 a) What is a public good game? See, for example, Camerer (2003), Fehr and Schmidt (1999) p.836, and/or lecture notes, lecture 1 of Topic 3.

More information

Ateneo de Manila, Philippines

Ateneo de Manila, Philippines Ideal Flow Based on Random Walk on Directed Graph Ateneo de Manila, Philippines Background Problem: how the traffic flow in a network should ideally be distributed? Current technique: use Wardrop s Principle:

More information

On the Hardness of Network Design for Bottleneck Routing Games

On the Hardness of Network Design for Bottleneck Routing Games On the Hardness of Network Design for Bottleneck Routing Games Dimitris Fotakis 1, Alexis C. Kaporis 2, Thanasis Lianeas 1, and Paul G. Spirakis 3,4 1 School of Electrical and Computer Engineering, National

More information

CS 781 Lecture 9 March 10, 2011 Topics: Local Search and Optimization Metropolis Algorithm Greedy Optimization Hopfield Networks Max Cut Problem Nash

CS 781 Lecture 9 March 10, 2011 Topics: Local Search and Optimization Metropolis Algorithm Greedy Optimization Hopfield Networks Max Cut Problem Nash CS 781 Lecture 9 March 10, 2011 Topics: Local Search and Optimization Metropolis Algorithm Greedy Optimization Hopfield Networks Max Cut Problem Nash Equilibrium Price of Stability Coping With NP-Hardness

More information

Network Congestion Games are Robust to Variable Demand

Network Congestion Games are Robust to Variable Demand Network Congestion Games are Robust to Variable Demand José Correa Ruben Hoeksma Marc Schröder Abstract Network congestion games have provided a fertile ground for the algorithmic game theory community.

More information

Social Network Games

Social Network Games CWI and University of Amsterdam Based on joint orks ith Evangelos Markakis and Sunil Simon The model Social netork ([Apt, Markakis 2011]) Weighted directed graph: G = (V,,), here V: a finite set of agents,

More information

Game Theory and Algorithms Lecture 2: Nash Equilibria and Examples

Game 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 information

Game Theory and its Applications to Networks

Game Theory and its Applications to Networks Game Theory and its Applications to Networks Corinne Touati / Bruno Gaujal Master ENS Lyon, Fall 2011 Course Overview Part 1 (C. Touati) : Games, Solutions and Applications Sept. 21 Introduction - Main

More information

Hotelling games on networks

Hotelling games on networks Gaëtan FOURNIER Marco SCARSINI Tel Aviv University LUISS, Rome NUS December 2015 Hypothesis on buyers 1 Infinite number of buyers, distributed on the network. 2 They want to buy one share of a particular

More information

On the Price of Anarchy in Unbounded Delay Networks

On the Price of Anarchy in Unbounded Delay Networks On the Price of Anarchy in Unbounded Delay Networks Tao Wu Nokia Research Center Cambridge, Massachusetts, USA tao.a.wu@nokia.com David Starobinski Boston University Boston, Massachusetts, USA staro@bu.edu

More information

Topics of Algorithmic Game Theory

Topics of Algorithmic Game Theory COMP323 Introduction to Computational Game Theory Topics of Algorithmic Game Theory Paul G. Spirakis Department of Computer Science University of Liverpool Paul G. Spirakis (U. Liverpool) Topics of Algorithmic

More information

Industrial Organization Lecture 3: Game Theory

Industrial Organization Lecture 3: Game Theory Industrial Organization Lecture 3: Game Theory Nicolas Schutz Nicolas Schutz Game Theory 1 / 43 Introduction Why game theory? In the introductory lecture, we defined Industrial Organization as the economics

More information

Recap Social Choice Functions Fun Game Mechanism Design. Mechanism Design. Lecture 13. Mechanism Design Lecture 13, Slide 1

Recap Social Choice Functions Fun Game Mechanism Design. Mechanism Design. Lecture 13. Mechanism Design Lecture 13, Slide 1 Mechanism Design Lecture 13 Mechanism Design Lecture 13, Slide 1 Lecture Overview 1 Recap 2 Social Choice Functions 3 Fun Game 4 Mechanism Design Mechanism Design Lecture 13, Slide 2 Notation N is the

More information

Coordination Games on Graphs

Coordination Games on Graphs Noname manuscript No. (will be inserted by the editor) Coordination Games on Graphs Krzysztof R. Apt Bart de Keijzer Mona Rahn Guido Schäfer Sunil Simon the date of receipt and acceptance should be inserted

More information

Improving Selfish Routing for Risk-Averse Players

Improving Selfish Routing for Risk-Averse Players Improving Selfish Routing for Risk-Averse Players Dimitris Fotakis 1, Dimitris Kalimeris 2, and Thanasis Lianeas 3 1 School of Electrical and Computer Engineering, National Technical University of Athens,

More information

Introduction 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) 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 information

Minimizing Price of Anarchy in Resource Allocation Games

Minimizing Price of Anarchy in Resource Allocation Games University of Colorado, Boulder CU Scholar Electrical, Computer & Energy Engineering Graduate Theses & Dissertations Electrical, Computer & Energy Engineering Spring 4-1-2014 Minimizing Price of Anarchy

More information

Bounded Rationality, Strategy Simplification, and Equilibrium

Bounded Rationality, Strategy Simplification, and Equilibrium Bounded Rationality, Strategy Simplification, and Equilibrium UPV/EHU & Ikerbasque Donostia, Spain BCAM Workshop on Interactions, September 2014 Bounded Rationality Frequently raised criticism of game

More information

On the Packing of Selfish Items

On the Packing of Selfish Items On the Packing of Selfish Items Vittorio Bilò 1, 1 Dipartimento di Matematica Dipartimento di Informatica Università di Lecce Università di L Aquila Provinciale Lecce-Arnesano, P.O. Box 19 Via Vetoio,

More information

Prisoner s Dilemma. Veronica Ciocanel. February 25, 2013

Prisoner 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 information

A Paradox on Traffic Networks

A Paradox on Traffic Networks A Paradox on Traffic Networks Dietrich Braess Bochum Historical remarks. The detection of the paradox is also counterintuitive Is the mathematical paradox consistent with the psychological behavior of

More information

Games A game is a tuple = (I; (S i ;r i ) i2i) where ffl I is a set of players (i 2 I) ffl S i is a set of (pure) strategies (s i 2 S i ) Q ffl r i :

Games A game is a tuple = (I; (S i ;r i ) i2i) where ffl I is a set of players (i 2 I) ffl S i is a set of (pure) strategies (s i 2 S i ) Q ffl r i : On the Connection between No-Regret Learning, Fictitious Play, & Nash Equilibrium Amy Greenwald Brown University Gunes Ercal, David Gondek, Amir Jafari July, Games A game is a tuple = (I; (S i ;r i ) i2i)

More information

Equilibrium Computation

Equilibrium Computation Equilibrium Computation Ruta Mehta AGT Mentoring Workshop 18 th June, 2018 Q: What outcome to expect? Multiple self-interested agents interacting in the same environment Deciding what to do. Q: What to

More information

A Folk Theorem For Stochastic Games With Finite Horizon

A Folk Theorem For Stochastic Games With Finite Horizon A Folk Theorem For Stochastic Games With Finite Horizon Chantal Marlats January 2010 Chantal Marlats () A Folk Theorem For Stochastic Games With Finite Horizon January 2010 1 / 14 Introduction: A story

More information

Covering Games: Approximation through Non-Cooperation

Covering Games: Approximation through Non-Cooperation Covering Games: Approximation through Non-Cooperation Martin Gairing Department of Computer Science, University of Liverpool, U.K. m.gairing@liverpool.ac.uk Abstract. We propose approximation algorithms

More information

UC 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 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 information

Game Theory Through The Computational Lens

Game Theory Through The Computational Lens Game Theory Through The Computational Lens Some Points of Contact Between Theoretical Computer Science and Economics Tim Roughgarden (Stanford & LSE) First Point of Contact Origins of game theory: n "Zur

More information

Evolutionary Game Theory and Frequency Dependent Selection

Evolutionary Game Theory and Frequency Dependent Selection Evolutionary Game Theory and Frequency Dependent Selection 1 Game Theory A major component of economics Given a set of rules, predict how would rational beings behave in an interaction Who is in the game?

More information

User Equilibrium CE 392C. September 1, User Equilibrium

User Equilibrium CE 392C. September 1, User Equilibrium CE 392C September 1, 2016 REVIEW 1 Network definitions 2 How to calculate path travel times from path flows? 3 Principle of user equilibrium 4 Pigou-Knight Downs paradox 5 Smith paradox Review OUTLINE

More information

Internalization of Social Cost in Congestion Games

Internalization of Social Cost in Congestion Games Internalization of Social Cost in Congestion Games Igal Milchtaich * November 2017 Congestion models may be studied from either the users point of view or the social one. The first perspective examines

More information

Doing Good with Spam is Hard

Doing Good with Spam is Hard Doing Good with Spam is Hard Martin Hoefer, Lars Olbrich, and Aleander Skopalik Department of Computer Science, RWTH Aachen University, Germany Abstract. We study economic means to improve network performance

More information

Small Sample of Related Literature

Small Sample of Related Literature UCLA IPAM July 2015 Learning in (infinitely) repeated games with n players. Prediction and stability in one-shot large (many players) games. Prediction and stability in large repeated games (big games).

More information