Chapter 6 Extensive Games, perfect info

Slides:



Advertisements
Similar presentations
An Introduction to Game Theory Part V: Extensive Games with Perfect Information Bernhard Nebel.
Advertisements

Game Theoretic Analysis of Oligopoly y n Y N 0000 Y N The unique dominant strategy Nash Equilibrium is (y,Y) A game of imperfect.
5. Combining simultaneous and sequential moves.
M9302 Mathematical Models in Economics Instructor: Georgi Burlakov 3.1.Dynamic Games of Complete but Imperfect Information Lecture
Game Theory Assignment For all of these games, P1 chooses between the columns, and P2 chooses between the rows.
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.
Chapter Twenty-Eight Game Theory. u Game theory models strategic behavior by agents who understand that their actions affect the actions of other agents.
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 14 Infinite Horizon 1.Markov Games 2.Markov Solutions 3.Infinite Horizon Repeated Games 4.Trigger Strategy Solutions 5.Investing in Strategic Capital.
1 Chapter 14 – Game Theory 14.1 Nash Equilibrium 14.2 Repeated Prisoners’ Dilemma 14.3 Sequential-Move Games and Strategic Moves.
Chapter 6 Game Theory © 2006 Thomson Learning/South-Western.
EC3224 Autumn Lecture #04 Mixed-Strategy Equilibrium
EC941 - Game Theory Lecture 7 Prof. Francesco Squintani
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.
A Introduction to Game Theory Xiuting Tao. Outline  1 st a brief introduction of Game theory  2 nd Strategic games  3 rd Extensive games.
Extensive-form games. Extensive-form games with perfect information Player 1 Player 2 Player 1 2, 45, 33, 2 1, 00, 5 Players do not move simultaneously.
Repeated Prisoner’s Dilemma If the Prisoner’s Dilemma is repeated, cooperation can come from strategies including: “Grim Trigger” Strategy – one.
An Introduction to Game Theory Part I: Strategic Games
Ecs289m Spring, 2008 Non-cooperative Games S. Felix Wu Computer Science Department University of California, Davis
Intro to Game Theory Revisiting the territory we have covered.
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.
Chapter Twenty-Eight Game Theory. u Game theory models strategic behavior by agents who understand that their actions affect the actions of other agents.
1 Introduction APEC 8205: Applied Game Theory. 2 Objectives Distinguishing Characteristics of a Game Common Elements of a Game Distinction Between Cooperative.
APEC 8205: Applied Game Theory Fall 2007
PRISONER’S DILEMMA By Ajul Shah, Hiten Morar, Pooja Hindocha, Amish Parekh & Daniel Castellino.
Extensive Game with Imperfect Information III. Topic One: Costly Signaling Game.
Extensive Game with Imperfect Information Part I: Strategy and Nash equilibrium.
Game Applications Chapter 29. Nash Equilibrium In any Nash equilibrium (NE) each player chooses a “best” response to the choices made by all of the other.
Game Theoretic Analysis of Oligopoly lr L R 0000 L R 1 22 The Lane Selection Game Rational Play is indicated by the black arrows.
EC941 - Game Theory Francesco Squintani Lecture 3 1.
An introduction to game theory Today: The fundamentals of game theory, including Nash equilibrium.
Reading Osborne, Chapters 5, 6, 7.1., 7.2, 7.7 Learning outcomes
Chapter 9 Games with Imperfect Information Bayesian Games.
Game representations, solution concepts and complexity Tuomas Sandholm Computer Science Department Carnegie Mellon University.
Extensive Form Games With Perfect Information (Extensions)
Dynamic Games of complete information: Backward Induction and Subgame perfection - Repeated Games -
EC941 - Game Theory Prof. Francesco Squintani Lecture 5 1.
Microeconomics 2 John Hey. Game theory (and a bit of bargaining theory) A homage to John Nash. Born Still alive (as far as Google knows). Spent.
Games with Imperfect Information Bayesian Games. Complete versus Incomplete Information So far we have assumed that players hold the correct belief about.
Dynamic Games & The Extensive Form
Game-theoretic analysis tools Tuomas Sandholm Professor Computer Science Department Carnegie Mellon University.
Game Theory: introduction and applications to computer networks Game Theory: introduction and applications to computer networks Lecture 2: two-person non.
Chapters 29, 30 Game Theory A good time to talk about game theory since we have actually seen some types of equilibria last time. Game theory is concerned.
Extensive Games with Imperfect Information
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.
Lecture 5 Introduction to Game theory. What is game theory? Game theory studies situations where players have strategic interactions; the payoff that.
1 What is Game Theory About? r Analysis of situations where conflict of interests is present r Goal is to prescribe how conflicts can be resolved 2 2 r.
Incomplete information: Perfect Bayesian equilibrium
Chapter 6 Extensive Form Games With Perfect Information (Illustrations)
Extensive Form Games With Perfect Information (Illustrations)
EC941 - Game Theory Prof. Francesco Squintani Lecture 6 1.
Extensive Form (Dynamic) Games With Perfect Information (Theory)
Lec 23 Chapter 28 Game Theory.
Entry Deterrence Players Two firms, entrant and incumbent Order of play Entrant decides to enter or stay out. If entrant enters, incumbent decides to fight.
Now that we have set of pure strategies for each player, we need to find the payoffs to put the game in strategic form. Random payoffs. The actual outcome.
Chapter 28 Game Theory.
Microeconomics Course E
Game Theory in Wireless and Communication Networks: Theory, Models, and Applications Lecture 2 Bayesian Games Zhu Han, Dusit Niyato, Walid Saad, Tamer.
Learning 6.2 Game Theory.
Chapter 30 Game Applications.
Chapter 29 Game Theory Key Concept: Nash equilibrium and Subgame Perfect Nash equilibrium (SPNE)
Games with Imperfect Information Bayesian Games
Chapter 14 & 15 Repeated Games.
Chapter 14 & 15 Repeated Games.
Molly W. Dahl Georgetown University Econ 101 – Spring 2009
Lecture Game Theory.
Presentation transcript:

Chapter 6 Extensive Games, perfect info Detailed description of the sequential structure of strategic situations as opposed to Strategic Games Players perfectly informed of occurred events Initially decisions are not made at the same time, no randomness

Example 91.1 / Def. 89.1 Extensive game: Players to share two objects Conventional definition with trees as primitives: 1 2 (0,2) (2,0) no yes 2,0 0,0 1,1 0,2 (1,1)

Definition with players´ actions as primitives: G = (N, H, P, (i)) A Set of Players N = {1,2} A Set of possible histories (sequences, finite or infinite) H = {, (2, 0), (1, 1), (0, 2), ((2, 0), yes), ((2, 0), no), ((1, 1), yes), ((1, 0), no), ((0, 2), yes), ((0, 2), no)} Terminal histories Z = {((2, 0), yes), ((2, 0), no), ((1, 1), yes), ((1, 1), no), ((0, 2), yes), ((0, 2), no)} 1 2 (0,2) (2,0) no yes 2,0 0,0 1,1 0,2 (1,1)

A player function that assigns a player to each non terminal history P() = 1 and P(h) = 2 for every non terminal h   A preference relation for each player on Z: i: ((2, 0), yes) >1 ((1, 1), yes) >1 ((0, 2), yes) ~1 ((2, 0), no) ~1 ((1, 1) ~1 yes) ~1((1, 1), no) and ((2, 0), yes) >2 ((1, 1), yes) >2 ((0, 2), yes) ~2 ((2, 0), no) ~2 ((1, 1) ~2 yes) ~2((1, 1), no) 1 2 (0,2) (2,0) no yes 2,0 0,0 1,1 0,2 (1,1)

Def. 92.1 Strategies A strategy of player i is a function that assigns an action to each nonterminal history Even for histories that, if strategy is followed, are never reached Player 1 below has AE, AF, BE, BF The outcome O(s) of strategy profile s = (si)iN yields the terminal history when each player i follows si 1 A B 2 d C D 1 E c F a b

Def. 93.1 Nash Equilibrium Nash Equilibrium for an extensive game with perfect info is a strategy profile s* such that for every player iN we have O(s*-i, s*i) i O(s*-i, si) for every strategy si of player i (If other players follows s* you would better follow s* too... ) Alternatively it is the Nash Equilibrium of a strategic game derived from the extensive game

Equivalent strategic games 1 A B 2 d C D 1 E c F a b Extensive Game Equivalent Strategic Game Equivalent Strategic Game Reduced form

Example 95.2 1 A B 2 L R 1, 2 2, 1 0, 0 Given that player 2 chooses L it is optimal for player 1 to choose B The Nash equilibrium (B,L) lacks plausibility since P2 wouldn’t choose L after A.

Def. 97.1 Subgame (h) = (N, H|h, P|h, (i)|h) is the subgame to  = (N, H, P, (i)) that follows the history h h (h)

Def. 97.2 Subgame Perfect Equlibrium A subgame perfect equilibrium is a strategy profile s* such that for any history h the strategy profile s*|h is a Nash equlibrium of the subgame (h) OR?

Example 95.2 again (A) (B,L) is a Nash equilibrium 1 A B 2 L R 1, 2 0, 0 (A) 2, 1 (B,L) is a Nash equilibrium Is (B,L) a subgame perfect equilibrium? The strategy profile s*|h = (B,L)|A in the subgame (A) is for instance no Nash Equilibrium Player 2 wouldn’t chose L given that player 1 has chosen A

Prop. 99.2 Kuhn´s Theorem Every finite extensive game with perfect info has a subgame perfect equilibrium. E.g chess is draw once a position is repeated three times => chess is finite

Two Extensions to Extensive Games with perfect info Exogenous uncertainty The Player function P(h) has a probability that chance determines the action after the history h Definition of a subgame perfect equilibrium and Kuhn’s theorem still OK Simultaneous moves The Player function P(h) assigns a set of players that make choices after the history h

6.5.1 The Chain Store Game Multitude of Nash equilibria Every terminal history which the outcome in any period is either Out or (In,C) Intuitively unappealing for small K Unique Subgame Perfect Equilibrium Always (In, C) Not that appealing for large K k In Out CS F C 5 ,1 2, 2 0, 0

Ex. 110.1 BoS with an outside option Elimination of dominated actions yields: (B, B) Interpretation BB >1 Book >1 SS >1 BS ~1 SB Player 2 knows that if player 1 selects concert he would choose Bach otherwise he would better stay home reading the book Thus player 1 can select B knowing that player 2 also selects B 1 Book Concert 2, 2

Ex. 111.1 Burning money Elimination of dominated actions yields: (0B, BB) Interpretation: P2 thinks that if P1 spends D then he wants to go Bach otherwise he would loose compared to not spending D => P2 chooses B if P1 chooses D P1 knows this and can expect a payoff of 2 by choosing DB P2 knows that the rationality of P1 choosing 0 is that he expects to gain better than 2 (by choosing DB) Thus P1 can choose 0B and gain 3 Authors think that this example is implausible 1 D