LAUREN FRATAMICO Common knowledge of rationality and backward induction.

Slides:



Advertisements
Similar presentations
5. Combining simultaneous and sequential moves.
Advertisements

M9302 Mathematical Models in Economics Instructor: Georgi Burlakov 3.1.Dynamic Games of Complete but Imperfect Information Lecture
Basics on Game Theory Class 2 Microeconomics. Introduction Why, What, What for Why Any human activity has some competition Human activities involve actors,
ECON 100 Tutorial: Week 9 office: LUMS C85.
This Segment: Computational game theory Lecture 1: Game representations, solution concepts and complexity Tuomas Sandholm Computer Science Department Carnegie.
3. Basic Topics in Game Theory. Strategic Behavior in Business and Econ Outline 3.1 What is a Game ? The elements of a Game The Rules of the.
Infinitely Repeated Games. In an infinitely repeated game, the application of subgame perfection is different - after any possible history, the continuation.
Non-Cooperative Game Theory To define a game, you need to know three things: –The set of players –The strategy sets of the players (i.e., the actions they.
Chapter 6 Game Theory © 2006 Thomson Learning/South-Western.
1 Game Theory. 2 Agenda Game Theory Matrix Form of a Game Dominant Strategy and Dominated Strategy Nash Equilibrium Game Trees Subgame Perfection.
EC941 - Game Theory Lecture 7 Prof. Francesco Squintani
AP Economics Mr. Bernstein Module 65: Game Theory December 10, 2014.
Game Theory. Games Oligopolist Play ▫Each oligopolist realizes both that its profit depends on what its competitor does and that its competitor’s profit.
ECO290E: Game Theory Lecture 9 Subgame Perfect Equilibrium.
Short introduction to game theory 1. 2  Decision Theory = Probability theory + Utility Theory (deals with chance) (deals with outcomes)  Fundamental.
Game-theoretic analysis tools Necessary for building nonmanipulable automated negotiation systems.
Game Theory Lecture 8.
M9302 Mathematical Models in Economics Instructor: Georgi Burlakov 3.1.Dynamic Games of Complete but Imperfect Information Lecture
Chapter 11 Game Theory and the Tools of Strategic Business Analysis.
Repeated Prisoner’s Dilemma If the Prisoner’s Dilemma is repeated, cooperation can come from strategies including: “Grim Trigger” Strategy – one.
Dynamic Games of Complete Information.. Repeated games Best understood class of dynamic games Past play cannot influence feasible actions or payoff functions.
EC941 - Game Theory Prof. Francesco Squintani Lecture 8 1.
A camper awakens to the growl of a hungry bear and sees his friend putting on a pair of running shoes, “You can’t outrun a bear,” scoffs the camper. His.
Algoritmi per Sistemi Distribuiti Strategici
1 Game Theory Lecture 2 Game Theory Lecture 2. Spieltheorie- Übungen P. Kircher: Dienstag – 09: HS M S. Ludwig: Donnerstag Uhr.
Basics on Game Theory For Industrial Economics (According to Shy’s Plan)
More on Extensive Form Games. Histories and subhistories A terminal history is a listing of every play in a possible course of the game, all the way to.
Game Theory: Key Concepts Zero Sum Games Zero Sum Games Non – Zero Sum Games Non – Zero Sum Games Strategic Form Games  Lay out strategies Strategic Form.
Game Playing CSC361 AI CSC361: Game Playing.
An introduction to game theory Today: The fundamentals of game theory, including Nash equilibrium.
APEC 8205: Applied Game Theory Fall 2007
Static Games of Complete Information: Subgame Perfection
Games in the normal form- An application: “An Economic Theory of Democracy” Carl Henrik Knutsen 5/
Time for playing games Form pairs You will get a sheet of paper to play games with You will have 12 minutes to play the games and turn them in.
© 2009 Institute of Information Management National Chiao Tung University Lecture Notes II-2 Dynamic Games of Complete Information Extensive Form Representation.
An introduction to game theory Today: The fundamentals of game theory, including Nash equilibrium.
SUBGAME PERFECT EQUILIBRIUM Prof. Dr. Yeşim Kuştepeli ECO 4413 Game Theory 1.
Reading Osborne, Chapters 5, 6, 7.1., 7.2, 7.7 Learning outcomes
Chapter 9 Games with Imperfect Information Bayesian Games.
Economics for Business II Day 12 – Some Macro Numbers and Answers Dr. Andrew L. H. Parkes “A Macroeconomic Understanding for use in Business” 卜安吉.
Nash equilibrium Nash equilibrium is defined in terms of strategies, not payoffs Every player is best responding simultaneously (everyone optimizes) This.
Dynamic Games of complete information: Backward Induction and Subgame perfection - Repeated Games -
Standard and Extended Form Games A Lesson in Multiagent System Based on Jose Vidal’s book Fundamentals of Multiagent Systems Henry Hexmoor, SIUC.
M9302 Mathematical Models in Economics Instructor: Georgi Burlakov 4.1.Dynamic Games of Incomplete Information Lecture
Common Knowledge of Rationality is Self-Contradictory Herbert Gintis Santa Fe Institute Central European University Institute for New Economic Thinking.
McGraw-Hill/Irwin Copyright  2008 by The McGraw-Hill Companies, Inc. All rights reserved. GAME THEORY, STRATEGIC DECISION MAKING, AND BEHAVIORAL ECONOMICS.
Dynamic Games & The Extensive Form
Game-theoretic analysis tools Tuomas Sandholm Professor Computer Science Department Carnegie Mellon University.
Topic 3 Games in Extensive Form 1. A. Perfect Information Games in Extensive Form. 1 RaiseFold Raise (0,0) (-1,1) Raise (1,-1) (-1,1)(2,-2) 2.
3.1.4 Types of Games. Strategic Behavior in Business and Econ Outline 3.1. What is a Game ? The elements of a Game The Rules of the Game:
Adversarial Search Chapter Games vs. search problems "Unpredictable" opponent  specifying a move for every possible opponent reply Time limits.
ECO290E: Game Theory Lecture 13 Dynamic Games of Incomplete Information.
Strategic Behavior in Business and Econ Static Games of complete information: Dominant Strategies and Nash Equilibrium in pure and mixed strategies.
Subgames and Credible Threats (with perfect information) Econ 171.
1 Information, Control and Games Shi-Chung Chang EE-II 245, Tel: ext Office.
The Logic of Individual Choice: The Foundation of Supply and Demand 10 The Logic of Individual Choice: The Foundation of Supply and Demand The theory of.
Game tree search Thanks to Andrew Moore and Faheim Bacchus for slides!
Game Theory (Microeconomic Theory (IV)) Instructor: Yongqin Wang School of Economics, Fudan University December, 2004.
Dynamic games, Stackelburg Cournot and Bertrand
ECO290E: Game Theory Lecture 3 Why and How is Nash Equilibrium Reached?
Bargaining games Econ 414. General bargaining games A common application of repeated games is to examine situations of two or more parties bargaining.
Extensive Form (Dynamic) Games With Perfect Information (Theory)
ECO290E: Game Theory Lecture 10 Examples of Dynamic Games.
M9302 Mathematical Models in Economics Instructor: Georgi Burlakov 2.1.Dynamic Games of Complete and Perfect Information Lecture
Extensive-form games and how to solve them
Learning 6.2 Game Theory.
CPS Extensive-form games
Multiagent Systems Repeated Games © Manfred Huber 2018.
Vincent Conitzer Extensive-form games Vincent Conitzer
M9302 Mathematical Models in Economics
Presentation transcript:

LAUREN FRATAMICO Common knowledge of rationality and backward induction

Fun Game! Common Knowledge of Rationality and Backward Induction - Lauren Fratamico

“In perfect information games, common knowledge of rationality implies backward induction.” - Robert Aumann, 1995

Outline Backward induction  Review  Implications Common knowledge of rationality Criticism of the implications Summary Common Knowledge of Rationality and Backward Induction - Lauren Fratamico

Backward Induction It is beneficial to you to guess how others will play Goal: Prune game tree so that at each node, the player is choosing the action to maximize utility Common Knowledge of Rationality and Backward Induction - Lauren Fratamico

Backward Induction Steps Step 1: Locate node where all children are terminal nodes Step 2: Choose action for player at that node assuming player wants to maximize his payoff Step 3: Prune off path not taken Repeat above until one node remains Common Knowledge of Rationality and Backward Induction - Lauren Fratamico

Backward Induction Steps Solution is unique if at every choice node, player is not indifferent Will result in a Nash Equilibrium, but there could be more Common Knowledge of Rationality and Backward Induction - Lauren Fratamico

What is common knowledge of rationality? Common Knowledge of Rationality and Backward Induction - Lauren Fratamico All players know each others payoffs Know that all other they know other players’ Know that other players know that they know … All players know that they are thought of as being rational

What is common knowledge of rationality? All players know each others payoffs Know that all other they know other players’ Know that other players know that they know … All players know that they are thought of as being rational Knowledge refers to start of play – for a player to know something means that he knew it before the start of the game Rational – player is a habitual payoff maximizer Common Knowledge of Rationality and Backward Induction - Lauren Fratamico

Proof that common knowledge of rationality implies backward induction Full proof in Aumann’s 1995 paper: Backward induction and common knowledge of rationality. Common Knowledge of Rationality and Backward Induction - Lauren Fratamico

Important results and interpretations Rationality:  Critical to define rationality at all nodes  Players pick an action at each node  They do not pick actions with the assumption that that node will be reached Common Knowledge of Rationality and Backward Induction - Lauren Fratamico

Breakdown of rationality and backwards induction Common Knowledge of Rationality and Backward Induction - Lauren Fratamico

Backward Induction Paradox What if player 1 doesn’t go down? What should you do as player 2? If they played irrationally once, are they likely to do it again? It seems that “rational” players should hold out for a better payoff Common Knowledge of Rationality and Backward Induction - Lauren Fratamico

Counter-arguments to Aumann The Backwards Induction Paradox Taking into account past play  Does this change what it means to be rational? “Co-operation theory”  Eg, tit for tat => Other (irrational) strategies often result in higher payoffs. Common Knowledge of Rationality and Backward Induction - Lauren Fratamico

Summary Backward Induction  Results in Subgame perfect equilibria  Is the “rational” solution to end up in Common knowledge of rationality  Logically implies backward induction Common knowledge of rationality implies backward induction  Unsatisfactory results in gameplay Common Knowledge of Rationality and Backward Induction - Lauren Fratamico

References Aumann, R. (1995). Backward induction and common knowledge of rationality. GEB: Games and Economic Behavior, 8(1), 6–19. Jackson, Matthew O. “Backwards Induction.” YouTube. OpenCourseOnline. Lecture Notes (2012). Rationalizability economic-applications-of-game-theory-fall-2012/lecture- notes/MIT14_12F12_chapter5.pdfhttp://ocw.mit.edu/courses/economics/ economic-applications-of-game-theory-fall-2012/lecture- notes/MIT14_12F12_chapter5.pdf Lecture Slides (2008). Backward Induction. 9/lectures/lect8.pdf 9/lectures/lect8.pdf Pettit, P. and R. Sugden. (1989). The Backwards Induction Paradox. J. Philos., 4 (1989), pp. 1–14 Y. Shoham and K. Leyton-Brown, Multiagent Systems: Algorithmic, Game- Theoretic, and Logical Foundations, Cambridge University Press, Common Knowledge of Rationality and Backward Induction - Lauren Fratamico

Thank You! Common Knowledge of Rationality and Backward Induction - Lauren Fratamico